
Cloud Vulnerability DB
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CVE-2023-6940 is a critical security vulnerability in MLFlow that allows attackers to gain full command execution on victim systems through a malicious configuration download. The vulnerability was discovered in December 2023 and affects MLFlow versions up to (excluding) 2.9.2 (NVD).
The vulnerability has a CVSS v3.1 base score of 8.8 (HIGH) with the vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. It is classified as CWE-77 (Improper Neutralization of Special Elements used in a Command Injection). The vulnerability requires only one user interaction - downloading a malicious configuration - to achieve command execution (NVD, SecurityWeek).
The vulnerability allows attackers to achieve full command execution on the victim's system, potentially leading to complete system compromise. This poses a significant risk as it could allow unauthorized access to sensitive data, system manipulation, and further network penetration (NVD).
The vulnerability has been patched in MLFlow version 2.9.2. Users are advised to upgrade to this version or later. The fix involves implementing a sandboxed jinja2 loader for YAML rendering to prevent command execution (GitHub Patch).
The vulnerability was discovered through Protect AI's huntr bug bounty program, which focuses on AI/ML security. It was part of a larger disclosure of eight vulnerabilities in the AI development supply chain, highlighting the growing concern around security in AI/ML tools and frameworks (SecurityWeek).
Source: This report was generated using AI
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