
Cloud Vulnerability DB
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CVE-2023-6753 is a path traversal vulnerability discovered in GitHub repository mlflow/mlflow affecting versions prior to 2.9.2. The vulnerability was disclosed in December 2023 and received a CVSS v3.1 base score of 9.6 (Critical) from huntr.dev and 8.8 (High) from NVD (SecurityWeek, NVD).
The vulnerability is classified as CWE-22 (Improper Limitation of a Pathname to a Restricted Directory) and specifically affects Windows systems. It allows arbitrary file write operations through path traversal attacks, enabling attackers to write files to unauthorized locations on the system (NVD).
If exploited, this vulnerability could allow remote attackers to write files to arbitrary locations on Windows systems running affected versions of MLFlow, potentially leading to system compromise through unauthorized file operations (SecurityWeek).
The vulnerability has been patched in MLFlow version 2.9.2. Users are advised to upgrade to this version or later to mitigate the risk. The fix includes additional validation for filenames to prevent path traversal attacks (GitHub).
The vulnerability was part of a larger disclosure of eight vulnerabilities in the AI/ML development supply chain, highlighting growing security concerns in AI infrastructure. The discovery has led to increased focus on the need for specialized security measures in AI/ML development pipelines (SecurityWeek).
Source: This report was generated using AI
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