Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. mlflow
  4. ›
  5. CVE-2024-37057

CVE-2024-37057: MLFlow unsafe deserialization

June 4, 2024 (updated June 5, 2024)

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.

References

  • github.com/advisories/GHSA-j8mg-pqc5-x9gj
  • github.com/mlflow/mlflow
  • hiddenlayer.com/sai-security-advisory/mlflow-june2024
  • nvd.nist.gov/vuln/detail/CVE-2024-37057

Code Behaviors & Features

Detect and mitigate CVE-2024-37057 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →

Affected versions

All versions starting from 2.0.0rc0 up to 2.13.1

Solution

Unfortunately, there is no solution available yet.

Impact 8.8 HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Learn more about CVSS

Weakness

  • CWE-502: Deserialization of Untrusted Data

Source file

pypi/mlflow/CVE-2024-37057.yml

Spotted a mistake? Edit the file on GitLab.

  • Site Repo
  • About GitLab
  • Terms
  • Privacy Statement
  • Contact

Page generated Sun, 08 Nov 2026 00:16:11 +0000.