Advisory record · GHSA-rvhj-8chj-8v3c

Mlflow: Command Injection when serving models with enable_mlserver=True

CVSS 9.6 CriticalCriticalEPSS 0.014 · 72nd percentile

Critical, because:

  • CVSS score 9.6: 9.0 or more.

How we decide what’s critical

Published by the GitHub Advisory Database at 29 Jun 2026, 11:50 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

PackageEcosystemAffectedFixed in
mlflowPyPI<3.9.03.9.0
Identifiers
GHSA-rvhj-8chj-8v3c · BIT-mlflow-2026-0596 · CVE-2026-0596 · PYSEC-2026-424
Weakness (CWE)
CWE-78
Published
29 Jun 2026
Updated
1 Jul 2026

Machine-written summary

Summary written by Claude Haiku from the source advisory. Not reviewed by a person.

Mlflow versions before 3.9.0 are vulnerable to command injection when serving a model with enable_mlserver=True. The model_uri is placed unsanitized into a shell command, so an attacker who can supply a crafted model_uri can run arbitrary commands, and privilege escalation is possible if a higher-privileged service serves models from a directory that lower-privileged users can write to. Upgrade to Mlflow 3.9.0 or later.

Written 10 Nov 2026.

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

ScoreRatingCVSSVectorSource
9.6 Critical 3.0 CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H CNA (@huntr_ai)
  • CISA KEV Not listed.
  • EPSS 0.014, the 72nd percentile, on 14 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

This record came from the full history of the GitHub Advisory Database, published 29 Jun 2026. New records show when each source confirmed them.

Sources

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.