Command Injection in mlflow/mlflow
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
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| mlflow | mlflow/mlflow | affected |
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No data.
| Vendor | Product | Versions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mlflow | Mlflow |
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| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-r23q-823p-vmf7 | MLflow Command Injection vulnerability |
No CVSS v4.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: 2.4% (2.401% probability within 30 days)
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cvssV3_1
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cvssV3_1
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Lfprojects
Lfprojects mlflow |
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| CPEs | cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Lfprojects
Lfprojects mlflow |
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cvssV3_1
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cvssV3_1
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Mlflow
Mlflow mlflow |
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| Weaknesses | CWE-78 | |
| Vendors & Products |
Mlflow
Mlflow mlflow |
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threat_severity
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cvssV3_1
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ssvc
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ssvc
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ssvc
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| 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. | |
| Title | Command Injection in mlflow/mlflow | |
| Weaknesses | CWE-77 | |
| References |
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| Metrics |
cvssV3_0
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