Incident Score: Analysis & Impact (GIT1773311240)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of GitLab's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts GitLab Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the GitLab breach identified under incident ID GIT1773311240.
The analysis begins with a detailed overview of GitLab's information like the linkedin page: https://www.linkedin.com/company/gitlab-com, the number of followers: 1101919, the industry type: IT Services and IT Consulting and the number of employees: 3318 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 783 and after the incident was 758 with a difference of -25 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on GitLab and their customers.
GitLab recently reported "North Korean Threat Actors Exploit IT Recruitment to Deploy Malware and Infiltrate Organizations", a noteworthy cybersecurity incident.
GitLab’s recent research has uncovered a sophisticated campaign by North Korean threat actors who weaponize the tech recruitment process to target software developers particularly in the cryptocurrency and financial sectors.
The disruption is felt across the environment, affecting Private code repositories and Developer workstations, and exposing Passport scans, Banking records and Performance reviews, plus an estimated financial loss of $1.64 million (Q1 2022 - Q3 2025).
In response, moved swiftly to contain the threat with measures like Banned 131 North Korean-attributed accounts in 2025.
The case underscores how Ongoing, teams are taking away lessons such as The incident highlights the persistent threat posed by state-aligned actors exploiting trust in the tech hiring ecosystem, the growing sophistication of AI-enhanced deception, and the risks of malicious supply-chain attacks via code repositories, and recommending next steps like Enhanced vetting of IT recruitment processes, Monitoring of private code repositories for malicious payloads and Awareness training for developers on social engineering risks.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Phishing: Spearphishing Link (T1566.002) with high confidence (90%), supported by evidence indicating trick developers into executing malicious payloads under guise of technical assessments, Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.002) with moderate to high confidence (80%), supported by evidence indicating abuse private code repositories (GitLab, Visual Studio Code) to distribute obfuscated loaders, and Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating exploiting trusted hiring pipelines, freelance platforms, smaller companies. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), supported by evidence indicating developers into executing malicious payloads under guise of technical assessments and Native API (T1106) with moderate to high confidence (70%), supported by evidence indicating malware like BeaverTail and Ottercookie distributed via code repositories. Under the Persistence tactic, the analysis identified Create Account: Local Account (T1136.001) with moderate to high confidence (80%), supported by evidence indicating synthetic personas, 21 unique identities, stolen U.S. documents and Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (T1547.001) with moderate confidence (60%), supported by evidence indicating malware like BeaverTail and Ottercookie distributed via code repositories. Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (80%), supported by evidence indicating synthetic personas, stolen U.S. documents, fake IT workers. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating aI to refine malware obfuscation, tools like ClickFix, Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (70%), supported by evidence indicating malicious NPM dependencies, private code repositories, Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating fake IT workers infiltrating via freelance platforms, and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (70%), supported by evidence indicating obfuscated loaders for malware like BeaverTail and Ottercookie. Under the Credential Access tactic, the analysis identified Compromise Accounts: Cloud Accounts (T1586.002) with moderate to high confidence (80%), supported by evidence indicating fake IT workers, synthetic personas, stolen U.S. documents and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating compromised repositories contained banking records, performance reviews. Under the Discovery tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with moderate to high confidence (70%), supported by evidence indicating targeting software developers, fintech firms, smaller organizations and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating compromised repositories contained sensitive data (passport scans, spreadsheets). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating passport scans, banking records, performance reviews, financial spreadsheets and Data from Information Repositories: Code Repositories (T1213.003) with high confidence (90%), supported by evidence indicating abuse private code repositories (GitLab, Visual Studio Code) for malware distribution. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating use of consumer VPNs, VPS infrastructures, laptop farms to mask origins and Ingress Tool Transfer (T1105) with moderate to high confidence (80%), supported by evidence indicating malware like BeaverTail and Ottercookie hosted externally. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data breach such as passport scans, banking records, financial spreadsheets and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating compromised repositories contained sensitive data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating malware like BeaverTail and Ottercookie distributed and Defacement: Internal Defacement (T1491.001) with moderate confidence (50%), supported by evidence indicating infiltration of organizations via freelance platforms. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- GitLab Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/gitlab-com/incident/GIT1773311240
- GitLab CyberSecurity Rating page: https://www.rankiteo.com/company/gitlab-com
- GitLab Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/git1773311240-gitlab-cyber-attack-january-2022/
- GitLab CyberSecurity Score History: https://www.rankiteo.com/company/gitlab-com/history
- GitLab CyberSecurity Incident Source: https://www.csoonline.com/article/4143199/north-korean-fake-it-worker-tradecraft-exposed.html
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf