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VulnerabilityPublished Updated

CVE-2025-15379: mlflow/mlflow · Command Injection

Affects mlflow/mlflowSource CVE Database V5

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Not known to be exploited · CVSS 10.0 Critical : upgrade to 3.8.2 as a priority.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.0 base score
10.0Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
2.4% chance of exploitation in 30 days – higher than 83% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.8.2
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  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), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade mlflow to 3.8.2.

Affected software

ProductAffectedFixed in
mlflowmlflow/mlflowAffected
  • ≥ unspecified, < 3.8.2
Fixed in–
PyPImlflowpkg:pypi/mlflowOther threatsAffected
  • >=3.8.0 <3.8.2
Fixed in
  • 3.8.2

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

An official fix is available in MLflow version 3.8.2. Users should upgrade affected installations to version 3.8.2 or later to remediate this vulnerability. No additional mitigations are specified in the vendor advisory.

Description

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.

References

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