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VulnerabilityPublished

CVE-2026-0596: mlflow/mlflow · OS Command Injection

Affects mlflow/mlflowSource CVE Database V5

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Not known to be exploited · CVSS 9.6 Critical.

Data as of 29 Oct 2026, 19:04 UTC

CVSS 3.0 base score
9.6Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.3% chance of exploitation in 30 days – higher than 72% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 31 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: evidence found.

    Public exploit code: GitHub proofs of concept

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), GitHub proofs of concept, the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
mlflowmlflow/mlflowAffected
  • ≥ unspecified, ≤ latest
Fixed in–

AI-suggested

Until an official fix is available, avoid enabling enable_mlserver=True or ensure that model_uri inputs are strictly validated and sanitized to prevent shell metacharacter injection. Additionally, run the mlflow service with least privilege and avoid serving models from directories writable by untrusted or lower-privileged users.

Description

CVE-2026-0596 is a critical command injection vulnerability in mlflow/mlflow when serving a model with the enable_mlserver option set to true. The vulnerability arises because the model_uri parameter is embedded directly into a shell command executed via bash without proper sanitization. This allows an attacker to inject shell metacharacters to execute arbitrary commands. Exploitation can lead to full confidentiality, integrity, and availability compromise, including potential privilege escalation if the service runs with elevated privileges and serves models from writable directories by lower-privileged users.

References

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