CVE-2022-0427 in Community Edition
Summary
by MITRE • 03/28/2022
Missing sanitization of HTML attributes in Jupyter notebooks in all versions of GitLab CE/EE since version 14.5 allows an attacker to perform arbitrary HTTP POST requests on a user's behalf leading to potential account takeover
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Analysis
by VulDB Data Team • 03/31/2022
The vulnerability identified as CVE-2022-0427 represents a critical security flaw in GitLab's implementation of Jupyter notebook functionality within its Community and Enterprise editions. This issue affects all versions starting from 14.5 and stems from insufficient input validation and sanitization of HTML attributes within the notebook rendering process. The flaw specifically manifests when Jupyter notebooks are processed and displayed within the GitLab environment, creating a potential attack vector that could be exploited by malicious actors to compromise user accounts.
The technical root cause of this vulnerability lies in the improper handling of HTML attributes during the rendering of Jupyter notebooks. When users create or view notebooks containing maliciously crafted HTML content, the system fails to adequately sanitize attributes that could be used to construct malicious HTTP requests. This missing sanitization allows attackers to inject HTML elements with attributes such as onclick, onload, or form action handlers that can trigger unintended behaviors. The vulnerability specifically enables the execution of arbitrary HTTP POST requests on behalf of authenticated users, which forms the core mechanism for potential account takeover attacks.
The operational impact of this vulnerability is severe and multifaceted. An attacker who successfully exploits this flaw can leverage the compromised notebook rendering functionality to perform unauthorized actions within the victim's session context. This capability extends beyond simple data exfiltration to encompass full account compromise through session hijacking, credential theft, and privilege escalation. The vulnerability particularly affects users who view notebooks containing malicious content, as the attack executes during the normal notebook rendering process without requiring additional user interaction beyond viewing the compromised content. This makes the attack vector particularly insidious as it can be triggered automatically when users access infected notebooks.
The security implications of CVE-2022-0427 align with CWE-79, which addresses Cross-Site Scripting (XSS) vulnerabilities resulting from insufficient HTML sanitization. This classification underscores the fundamental nature of the flaw as a failure to properly validate and sanitize user-supplied input before rendering it in web contexts. The vulnerability also maps to ATT&CK technique T1059.007, which covers Scripting through web shells, as the malicious HTML attributes can be used to execute arbitrary code within the victim's browser context. Additionally, this issue demonstrates characteristics of T1531, which involves Establishing Persistence through Web Shell, as the compromised notebooks can serve as persistent attack vectors for ongoing exploitation.
Mitigation strategies for this vulnerability require immediate attention from GitLab administrators and security teams. The most effective immediate solution involves applying the latest security patches released by GitLab to address the sanitization flaw in Jupyter notebook processing. Organizations should also implement comprehensive monitoring of notebook creation and viewing activities to detect anomalous behavior patterns. Network-level defenses including web application firewalls and content filtering systems can provide additional protection layers, though these should not be considered substitutes for proper patch management. Regular security audits of notebook content and user permissions should be conducted to minimize the attack surface and prevent unauthorized content injection. Furthermore, user education regarding the risks of viewing untrusted notebooks and the importance of maintaining up-to-date software versions remains crucial for comprehensive defense against this class of vulnerability.