CVE-2022-2428: Improper neutralization of input during web page generation ('cross-site scripting') in GitLab in GitLab GitLab
A crafted tag in the Jupyter Notebook viewer in GitLab EE/CE affecting all versions before 15.1.6, 15.2 to 15.2.4, and 15.3 to 15.3.2 allows an attacker to issue arbitrary HTTP requests
AI Analysis
Technical Summary
CVE-2022-2428 is a cross-site scripting (XSS) vulnerability found in GitLab's Jupyter Notebook viewer component affecting GitLab Community Edition (CE) and Enterprise Edition (EE). The vulnerability exists in versions prior to 15.1.6, between 15.2 and 15.2.4, and between 15.3 and 15.3.2. It arises from improper neutralization of input during web page generation, specifically when processing crafted tags in Jupyter Notebook files. An attacker can exploit this flaw by injecting malicious scripts that execute arbitrary HTTP requests within the context of the victim's browser session. The CVSS v3.1 base score is 6.4, indicating a medium severity level. The attack vector is network-based (AV:N), requires low privileges (PR:L), and user interaction (UI:R). The vulnerability impacts confidentiality and integrity, allowing attackers to potentially steal sensitive information or perform unauthorized actions on behalf of the user. However, it does not affect availability. No known exploits are currently reported in the wild. The vulnerability is mitigated by updating GitLab to fixed versions beyond the affected ranges. The flaw is particularly relevant for organizations using GitLab to host or view Jupyter Notebooks, which are common in data science and research environments. Since the vulnerability leverages the Jupyter Notebook viewer, it could be triggered when users open or preview maliciously crafted notebooks, leading to script execution in their browsers.
Potential Impact
For European organizations, the impact of CVE-2022-2428 can be significant in environments where GitLab is used extensively for software development, data science, and collaborative research projects involving Jupyter Notebooks. Exploitation could lead to unauthorized disclosure of sensitive project data, credentials, or internal APIs due to the ability to issue arbitrary HTTP requests from the victim's browser. This could facilitate further attacks such as session hijacking, privilege escalation, or lateral movement within corporate networks. Organizations in sectors like finance, healthcare, academia, and critical infrastructure that rely on GitLab for code and data management may face confidentiality breaches and integrity violations. Although the vulnerability requires user interaction, phishing or social engineering could be used to lure users into opening malicious notebooks. The medium severity rating reflects the balance between the potential damage and the exploitation complexity. However, given the widespread adoption of GitLab in Europe and the increasing use of Jupyter Notebooks, the risk is non-negligible and warrants prompt remediation.
Mitigation Recommendations
1. Immediate patching: Upgrade GitLab instances to versions 15.1.6 or later, 15.2.4 or later, and 15.3.2 or later, depending on the installed version series. 2. Restrict Jupyter Notebook viewer usage: Limit access to the Jupyter Notebook viewer feature to trusted users only, or disable it if not required. 3. Input sanitization review: Implement additional input validation and sanitization controls on user-submitted notebooks before rendering. 4. User awareness training: Educate users about the risks of opening untrusted Jupyter Notebooks and encourage verification of notebook sources. 5. Network segmentation: Isolate GitLab servers and restrict outbound HTTP requests from user browsers to reduce the impact of arbitrary HTTP requests. 6. Monitoring and detection: Deploy web application firewalls (WAFs) and intrusion detection systems (IDS) to detect suspicious activity related to notebook viewing and script execution. 7. Incident response readiness: Prepare to investigate and respond to potential exploitation attempts, including log analysis and forensic capabilities.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy, Spain
CVE-2022-2428: Improper neutralization of input during web page generation ('cross-site scripting') in GitLab in GitLab GitLab
Description
A crafted tag in the Jupyter Notebook viewer in GitLab EE/CE affecting all versions before 15.1.6, 15.2 to 15.2.4, and 15.3 to 15.3.2 allows an attacker to issue arbitrary HTTP requests
AI-Powered Analysis
Technical Analysis
CVE-2022-2428 is a cross-site scripting (XSS) vulnerability found in GitLab's Jupyter Notebook viewer component affecting GitLab Community Edition (CE) and Enterprise Edition (EE). The vulnerability exists in versions prior to 15.1.6, between 15.2 and 15.2.4, and between 15.3 and 15.3.2. It arises from improper neutralization of input during web page generation, specifically when processing crafted tags in Jupyter Notebook files. An attacker can exploit this flaw by injecting malicious scripts that execute arbitrary HTTP requests within the context of the victim's browser session. The CVSS v3.1 base score is 6.4, indicating a medium severity level. The attack vector is network-based (AV:N), requires low privileges (PR:L), and user interaction (UI:R). The vulnerability impacts confidentiality and integrity, allowing attackers to potentially steal sensitive information or perform unauthorized actions on behalf of the user. However, it does not affect availability. No known exploits are currently reported in the wild. The vulnerability is mitigated by updating GitLab to fixed versions beyond the affected ranges. The flaw is particularly relevant for organizations using GitLab to host or view Jupyter Notebooks, which are common in data science and research environments. Since the vulnerability leverages the Jupyter Notebook viewer, it could be triggered when users open or preview maliciously crafted notebooks, leading to script execution in their browsers.
Potential Impact
For European organizations, the impact of CVE-2022-2428 can be significant in environments where GitLab is used extensively for software development, data science, and collaborative research projects involving Jupyter Notebooks. Exploitation could lead to unauthorized disclosure of sensitive project data, credentials, or internal APIs due to the ability to issue arbitrary HTTP requests from the victim's browser. This could facilitate further attacks such as session hijacking, privilege escalation, or lateral movement within corporate networks. Organizations in sectors like finance, healthcare, academia, and critical infrastructure that rely on GitLab for code and data management may face confidentiality breaches and integrity violations. Although the vulnerability requires user interaction, phishing or social engineering could be used to lure users into opening malicious notebooks. The medium severity rating reflects the balance between the potential damage and the exploitation complexity. However, given the widespread adoption of GitLab in Europe and the increasing use of Jupyter Notebooks, the risk is non-negligible and warrants prompt remediation.
Mitigation Recommendations
1. Immediate patching: Upgrade GitLab instances to versions 15.1.6 or later, 15.2.4 or later, and 15.3.2 or later, depending on the installed version series. 2. Restrict Jupyter Notebook viewer usage: Limit access to the Jupyter Notebook viewer feature to trusted users only, or disable it if not required. 3. Input sanitization review: Implement additional input validation and sanitization controls on user-submitted notebooks before rendering. 4. User awareness training: Educate users about the risks of opening untrusted Jupyter Notebooks and encourage verification of notebook sources. 5. Network segmentation: Isolate GitLab servers and restrict outbound HTTP requests from user browsers to reduce the impact of arbitrary HTTP requests. 6. Monitoring and detection: Deploy web application firewalls (WAFs) and intrusion detection systems (IDS) to detect suspicious activity related to notebook viewing and script execution. 7. Incident response readiness: Prepare to investigate and respond to potential exploitation attempts, including log analysis and forensic capabilities.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- GitLab
- Date Reserved
- 2022-07-15T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0fc1484d88663aecc22
Added to database: 5/20/2025, 6:59:08 PM
Last enriched: 7/6/2025, 5:54:54 PM
Last updated: 7/31/2025, 7:13:23 PM
Views: 12
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