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Analyze » GitLab » GIT1770804634

Incident Score: Analysis & Impact (GIT1770804634)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-4
Company Score Before Incident771 / 1000
Company Score After Incident767 / 1000
INCIDENT NUMBERGIT1770804634
Type of Cyber IncidentVulnerability
ATTACK VECTORWeb IDE, GraphQL Introspection, JSON Validation, Markdown Tools, Dashboards, SSRF
DATA EXPOSEDAccess tokens, Private repository data,...
INCIDENT DATE10/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of GitLab'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 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 GIT1770804634.

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 771 and after the incident was 767 with a difference of -4 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 "GitLab Releases Critical Security Patches for High-Severity Vulnerabilities", a noteworthy cybersecurity incident.

GitLab has issued urgent security updates for its Community Edition (CE) and Enterprise Edition (EE), addressing multiple high-severity vulnerabilities in versions 18.8.4, 18.7.4, and 18.6.6.

The disruption is felt across the environment, affecting GitLab Community Edition (CE) and GitLab Enterprise Edition (EE), and exposing Access tokens, Private repository data and Sensitive information.

In response, moved swiftly to contain the threat with measures like Security patches released for versions 18.8.4, 18.7.4, and 18.6.6, and began remediation that includes Immediate updates required for self-managed instances.

The case underscores how and recommending next steps like Immediately update self-managed GitLab instances to patched versions (18.8.4, 18.7.4, or 18.6.6) to prevent exploitation.

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%), with evidence including incomplete validation in GitLab’s Web IDE (CVE-2025-7659), and xSS and injection flaws (CVE-2025-14560) and Drive-by Compromise (T1189) with moderate to high confidence (70%), supported by evidence indicating cross-site scripting (XSS) could enable session hijacking. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating cVE-2025-7659 allows unauthenticated attackers to steal tokens. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating sSRF vulnerabilities could probe internal networks. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating access private repositories via stolen tokens (CVE-2025-7659). Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with moderate to high confidence (80%), with evidence including doS risk in GraphQL introspection (CVE-2025-8099), and weak JSON validation to exhaust server resources (CVE-2026-0958). Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating xSS and injection flaws could deliver fake content. 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%)
Drive-by Compromise (70%)
Credential Access
Steal Application Access Token (90%)
Lateral Movement
Exploitation of Remote Services (70%)
Collection
Data from Information Repositories (90%)
Impact
Endpoint Denial of Service (80%)
Defense Evasion
Obfuscated Files or Information (60%)