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Analyze » GOG » GOG1780035947

Incident Score: Analysis & Impact (GOG1780035947)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident748 / 1000
Company Score After Incident743 / 1000
Company LinkView GOG Profile
INCIDENT NUMBERGOG1780035947
Type of Cyber IncidentVulnerability
ATTACK VECTORAuthenticated user with repository ownership or write access exploiting the `--exec` flag in `git rebase` via a malicious branch name in a pull request
DATA EXPOSEDPrivate repositories, credentials, hosted code
INCIDENT DATE16/03/2026
STATUSVulnerability disclosed, unpatched

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 GOG1780035947.

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 748 and after the incident was 743 with a difference of -5 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.

On 17 March 2026, Gogs disclosed Remote Code Execution (RCE) issues under the banner "Critical RCE Vulnerability in Gogs Exposes Self-Hosted Git Instances".

A severe security flaw in Gogs, a widely used open-source self-hosted Git service, has been disclosed, allowing authenticated users to execute arbitrary code under specific conditions.

The disruption is felt across the environment, affecting Self-hosted Gogs instances (Windows, Linux, macOS), and exposing Private repositories, credentials, hosted code.

Formal response steps have not been shared publicly yet.

The case underscores how Vulnerability disclosed, unpatched, and recommending next steps like Patch or update Gogs instances immediately once a fix is available. Restrict repository creation and rebase merging permissions where possible. Monitor for suspicious pull requests or branch names.

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 severe security flaw in Gogs, a widely used open-source self-hosted Git service and Valid Accounts (T1078) with high confidence (95%), supported by evidence indicating authenticated users to execute arbitrary code...only a registered account and repository ownership. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), supported by evidence indicating exploiting the `--exec` flag in `git rebase` during a Rebase before merging operation and Exploitation for Client Execution (T1203) with moderate to high confidence (85%), supported by evidence indicating remote code execution (RCE) by exploiting the `--exec` flag in `git rebase`. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating successful exploitation could lead to server compromise. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (80%), supported by evidence indicating credential theft...private repositories, credentials, hosted code. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (80%), supported by evidence indicating lateral movement...cross-tenant data breaches, exposing private repositories. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating private repositories, credentials, hosted code compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating cross-tenant data breaches, exposing private repositories on shared servers. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating tampering with hosted code...server compromise and Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating server compromise...lateral movement. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Valid Accounts (95%)
Execution
Command and Scripting Interpreter (90%)
Exploitation for Client Execution (85%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Credential Access
Unsecured Credentials (80%)
Lateral Movement
Exploitation of Remote Services (80%)
Collection
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (60%)
Resource Hijacking (70%)

Sources & References