Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously…

Description

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with.

Scores

EPSS (exploitation in 30 days)

0.62% · top 50% of all CVEs (6 Nov 2026)

CISA SSVC

Exploitation: none · Automatable: no · Technical impact: total

The list uses the assigner's score when there is one, then CISA's, then NVD's: High 8.8.

Weakness

• CWE-502 Deserialization of Untrusted Data (opens in a new tab)All about CWE-502 and its CVEs

Affected products

• MLflow · MLflow

  • affected 0.5.0 – ≤ *

Affected packages

From reviewed advisories of the GitHub Advisory Database.

• PyPImlflowGHSA-wf7f-8fxf-xfxc (opens in a new tab)

References (1)

• https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 (opens in a new tab)x_transferred

Sources

The same CVE in the primary databases and aggregators, to check against.

• CVE.org record (opens in a new tab)
• CVE List JSON (GitHub) (opens in a new tab)
• NVD (opens in a new tab)
• FIRST EPSS (opens in a new tab)
• OSV.dev (opens in a new tab)
• GitHub Advisory GHSA-wf7f-8fxf-xfxc (opens in a new tab)
• CIRCL Vulnerability-Lookup (opens in a new tab)

Badge for a README or a ticket

[![CVE-2024-37059](https://trackcve.app/badge/CVE-2024-37059.svg)](https://trackcve.app/cve/CVE-2024-37059)

Record last updated 2 Aug 2024, 03:43 UTC.