Critical severity9.8NVD Advisory· Published Mar 30, 2026· Updated Jul 15, 2026
CVE-2025-15379
CVE-2025-15379
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.
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Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
mlflowPyPI | < 3.8.1 | 3.8.1 |
Affected products
3- osv-coords2 versions
>= 3.8.0, < 3.9.0+ 1 more
- (no CPE)range: >= 3.8.0, < 3.9.0
- (no CPE)range: < 3.8.1
Patches
Vulnerability mechanics
References
8- github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05envdPatchWEB
- huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75nvdExploitThird Party AdvisoryWEB
- github.com/advisories/GHSA-r23q-823p-vmf7ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2025-15379ghsaADVISORY
- github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205ghsaWEB
- access.redhat.com/security/cve/CVE-2025-15379nvd
- bugzilla.redhat.com/show_bug.cginvd
- security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.jsonnvd
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