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CVE-2023-4812: Bypassing Codeowners Approval in GitLab EE, Potential System Compromise

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Overview

CVE-2023-4812 is a recently discovered security vulnerability that affects multiple versions of GitLab Enterprise Edition (EE). This vulnerability could allow an attacker to bypass the required CODEOWNERS approval process by adding changes to a previously approved merge request. As a result, unauthorized changes may be made, leading to potential system compromise or data leakage. This report aims to provide a detailed analysis of this vulnerability and offer mitigation guidance.

Vulnerability Summary

CVE ID: CVE-2023-4812
Severity: High (CVSS: 7.6)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: System compromise, potential data leakage

Affected Products

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Product | Affected Versions

GitLab EE | 15.3 – 16.5.5
GitLab EE | 16.6 – 16.6.3
GitLab EE | 16.7 – 16.7.1

How the Exploit Works

The vulnerability is exploited when an attacker adds changes to an already approved merge request. As the request is already approved, it bypasses the necessary CODEOWNERS approval. This allows the attacker to implement potentially malicious changes without detection, leading to unauthorized access, system compromise, or data leakage.

Conceptual Example Code

Below is a conceptual example of how the vulnerability might be exploited:

git checkout -b new-branch
git add malicious_change
git commit -m "Add changes to approved merge request"
git push origin new-branch

In this example, “malicious_change” could be any change that would negatively impact the system or lead to data leakage. The attacker then pushes the change to the server under a new branch, potentially bypassing the CODEOWNERS approval process.

Mitigation

The vendor has released a patch to mitigate this vulnerability. Updating GitLab EE to the latest version (16.7.2 or later) is strongly recommended. If patching is not immediately possible, the use of a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation by monitoring and potentially blocking malicious activity.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.
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