CVE-2021-22260 in Community Edition
Summary
by MITRE • 11/05/2021
A stored Cross-Site Scripting vulnerability in the DataDog integration in GitLab CE/EE version 13.7 and above allows an attacker to execute arbitrary JavaScript code on the victim's behalf
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Analysis
by VulDB Data Team • 11/10/2021
The vulnerability identified as CVE-2021-22260 represents a critical stored cross-site scripting flaw within GitLab's DataDog integration component affecting versions 13.7 and later of both Community and Enterprise editions. This security weakness resides in the handling of user-supplied data within the integration's data processing pipeline, where insufficient input validation and output encoding mechanisms fail to properly sanitize malicious script content. The vulnerability specifically manifests when GitLab processes data from DataDog monitoring systems, creating a persistent XSS attack vector that can be exploited by attackers who gain the ability to inject malicious JavaScript payloads into the system's data flow.
The technical exploitation of this vulnerability occurs through the manipulation of data inputs that are subsequently rendered in web interfaces without proper sanitization. When legitimate users view pages containing the maliciously injected JavaScript code, the script executes within their browser context, potentially enabling attackers to perform actions on behalf of the victim. The flaw falls under CWE-79 which specifically addresses cross-site scripting vulnerabilities, and aligns with ATT&CK technique T1566.001 for initial access through spearphishing attachments or links. The stored nature of this XSS means that the malicious payload persists in the application's database and can affect multiple users over time, making it particularly dangerous for enterprise environments where GitLab serves as a central collaboration platform.
The operational impact of CVE-2021-22260 extends beyond simple script execution, as successful exploitation can lead to complete session hijacking, data exfiltration, and privilege escalation within the GitLab environment. Attackers could leverage this vulnerability to steal authentication tokens, access confidential repository data, modify code repositories, or establish persistent backdoors through the compromised user sessions. The vulnerability affects organizations using GitLab's monitoring integration features, potentially exposing sensitive development infrastructure to unauthorized access. Organizations with extensive GitLab deployments may face widespread compromise if attackers successfully inject malicious code into monitoring data flows, as the persistence of stored XSS means the attack vector remains active until the malicious content is removed from the system.
Mitigation strategies for this vulnerability require immediate patching of GitLab installations to versions that address the specific XSS handling flaws in the DataDog integration. Organizations should implement comprehensive input validation and output encoding mechanisms for all user-supplied data within integration components, following secure coding practices that prevent script injection. Network segmentation and monitoring solutions should be enhanced to detect anomalous data flows that might indicate injection attempts, while privileged access controls should be enforced to limit who can modify integration configurations. Security teams should conduct thorough vulnerability assessments of all third-party integrations and implement regular security testing procedures including dynamic application security testing to identify similar stored XSS vulnerabilities in other components. Additionally, user education programs should emphasize the importance of not clicking on suspicious links or attachments that might be used to exploit such vulnerabilities, and incident response procedures should be updated to include specific protocols for handling XSS-related security events.