Incident Score: Analysis & Impact (GOG1770738763)
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 GOG's Vulnerability 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 GOG 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 GOG breach identified under incident ID GOG1770738763.
The analysis begins with a detailed overview of GOG's information like the linkedin page: https://www.linkedin.com/company/gogcom, the number of followers: 11267, the industry type: Computer Games and the number of employees: 812 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 756 and after the incident was 754 with a difference of -2 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 GOG and their customers.
Gogs recently reported "Critical RCE and 2FA Bypass Flaws Discovered in Gogs Self-Hosted Git Service", a noteworthy cybersecurity incident.
A severe security vulnerability in Gogs, a lightweight self-hosted Git service, has been uncovered, allowing attackers to execute remote code (RCE) and bypass two-factor authentication (2FA).
The disruption is felt across the environment, affecting Gogs self-hosted Git service (versions ≤ 0.13.3).
In response, moved swiftly to contain the threat with measures like Upgrade to patched versions (0.13.4 or 0.14.0+dev), and began remediation that includes Apply security patches, monitor for malicious activity.
The case underscores how teams are taking away lessons such as Risks of self-hosted Git tools in development environments, importance of timely patching and monitoring for API-based exploits, and recommending next steps like Upgrade to Gogs 0.13.4 or 0.14.0+dev immediately, consider migrating to actively maintained alternatives like Gitea, implement enhanced monitoring for Git operations, with advisories going out to stakeholders covering Organizations using Gogs are advised to upgrade to patched versions to mitigate potential server takeovers.
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 Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating critical RCE and 2FA Bypass Flaws Discovered in Gogs Self-Hosted Git Service and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating self-hosted Git service...allowing attackers to execute remote code (RCE). Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), supported by evidence indicating inject malicious Git configurations, such as SSH commands...enabling RCE on the server and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating exploit the PUT contents API to inject malicious Git configurations. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating bypass 2FA by using their own recovery codes to log in as any user. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Mark-of-the-Web Bypass (T1553.005) with moderate confidence (60%), supported by evidence indicating bypass security checks in the UpdateRepoFile function and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating 2FA Bypass...if they know the credentials. Under the Credential Access tactic, the analysis identified Modify Authentication Process: Multi-Factor Authentication (T1556.006) with moderate to high confidence (80%), supported by evidence indicating bypass 2FA by using their own recovery codes to log in as any user. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating potential server takeover, unauthorized access to private repositories. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- GOG Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/gogcom/incident/GOG1770738763
- GOG CyberSecurity Rating page: https://www.rankiteo.com/company/gogcom
- GOG Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/gog1770738763-gogs-vulnerability-january-2025/
- GOG CyberSecurity Score History: https://www.rankiteo.com/company/gogcom/history
- GOG CyberSecurity Incident Source: https://cyberpress.org/gogs-vulnerability/
- 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