CVE-2025-15379
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function.
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (2.39%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
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.
- CVSS 3.1
- 10.0 CRITICALCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
- EPSS
- 2.39% probability · 83th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-77, CWE-78
- Affected
- lfprojects/mlflow
- Source
- security@huntr.dev
References
- https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05ePatch
- https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75Exploit, Third Party Advisory
- https://access.redhat.com/security/cve/CVE-2025-15379Third Party Advisory
- https://bugzilla.redhat.com/show_bug.cgi?id=2452949Third Party Advisory
- https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.jsonThird Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.