CVE-2022-1190 in Community Editioninfo

Summary

by MITRE • 04/05/2022

Improper handling of user input in GitLab CE/EE versions 8.3 prior to 14.7.7, 14.8 prior to 14.8.5, and 14.9 prior to 14.9.2 allowed an attacker to exploit a stored XSS by abusing multi-word milestone references in issue descriptions, comments, etc.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Analysis

by VulDB Data Team • 04/06/2022

The vulnerability identified as CVE-2022-1190 represents a critical stored cross-site scripting flaw within GitLab Community Edition and Enterprise Edition platforms. This security weakness affects multiple version ranges including releases prior to 14.7.7, 14.8.5, and 14.9.2, demonstrating the persistent nature of input validation issues in complex software ecosystems. The flaw specifically manifests when GitLab processes user-generated content containing multi-word milestone references within issue descriptions and comments, creating an attack vector that allows malicious actors to inject persistent malicious scripts into the platform's database.

The technical exploitation of this vulnerability stems from inadequate sanitization of user input when processing milestone references in GitLab's issue tracking system. When users create or modify issues containing multi-word milestone names, the application fails to properly escape or validate these references before storing them in the database. This improper handling creates a stored XSS condition where malicious JavaScript code embedded within milestone references can be executed whenever other users view the affected issues or comments. The vulnerability operates at the application layer and leverages the trust relationship between the platform and its users, making it particularly dangerous as it can persist indefinitely until manually removed or the affected version is patched.

The operational impact of CVE-2022-1190 extends beyond simple script execution, as it provides attackers with the capability to hijack user sessions, steal sensitive information, and potentially escalate privileges within the GitLab environment. Given that GitLab serves as a central collaboration platform for development teams, the compromise of a single issue or comment could expose not only the victim's session cookies but also access to source code repositories, project management data, and confidential development information. The vulnerability aligns with CWE-79, which specifically addresses cross-site scripting flaws, and demonstrates the typical attack pattern described in the ATT&CK framework under T1566 for initial access through malicious content. The persistent nature of stored XSS attacks means that the malicious payload executes automatically for every user who accesses the compromised content, creating a continuous threat vector that can be exploited by attackers with minimal ongoing effort.

Organizations utilizing affected GitLab versions must implement immediate remediation measures including updating to patched versions, implementing additional input validation measures, and conducting comprehensive security assessments of existing user content. The recommended mitigation strategy involves applying the vendor-supplied patches that address the input sanitization issues in milestone reference handling. Security teams should also consider implementing web application firewalls to detect and block suspicious input patterns, while conducting thorough audits of existing issues and comments to identify potential exploitation attempts. The vulnerability underscores the importance of robust input validation and output encoding practices as outlined in OWASP Top 10 security guidelines, particularly emphasizing the need for proper context-aware escaping of user-supplied data in web applications to prevent XSS vulnerabilities.

Responsible

GitLab Inc.

Reservation

03/31/2022

Disclosure

04/05/2022

Moderation

accepted

CPE

ready

EPSS

0.87369

KEV

no

Activities

very low

Sources

Might our Artificial Intelligence support you?

Check our Alexa App!