CVE-2025-2255
GitLab vulnerability analysis and mitigation

Overview

An issue has been discovered in Gitlab EE/CE for AppSec affecting all versions from 13.5.0 before 17.8.6, 17.9 before 17.9.3, and 17.10 before 17.10.1. The vulnerability allows Cross-Site Scripting (XSS) attacks through certain error messages. This security flaw was reported through GitLab's HackerOne bug bounty program by researcher yvvdwf (GitLab Release, NVD Database).

Technical details

The vulnerability is classified as a Cross-Site Scripting (XSS) issue, specifically related to improper neutralization of input during web page generation (CWE-79). The severity assessment according to CVSS 3.1 scoring system is 8.7 (High) with the following vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N. This indicates that the vulnerability requires network access, low attack complexity, low privileges, and user interaction, while potentially leading to high impacts on confidentiality and integrity (NVD Database).

Impact

The vulnerability could allow attackers to execute cross-site scripting attacks through error messages, potentially leading to high impacts on both confidentiality and integrity of the affected systems. The CVSS scoring indicates no direct impact on availability but significant potential for data compromise and system manipulation (GitLab Release).

Mitigation and workarounds

GitLab has released patches to address this vulnerability in versions 17.10.1, 17.9.3, and 17.8.6. All affected users are strongly recommended to upgrade to these patched versions immediately. GitLab.com is already running the patched version, and GitLab Dedicated customers do not need to take any action (GitLab Release).

Community reactions

GitLab has classified this as a high-severity security issue and has addressed it promptly through their security patch release cycle. The vulnerability was discovered and reported through GitLab's bug bounty program on HackerOne, demonstrating the effectiveness of their security research community engagement (GitLab Release).

Additional resources


SourceThis report was generated using AI

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