{ "dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": { "cveId": "CVE-2025-14287", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "state": "PUBLISHED", "assignerShortName": "@huntr_ai", "dateReserved": "2025-12-08T19:06:12.739Z", "datePublished": "2026-03-15T09:27:36.706Z", "dateUpdated": "2026-07-15T01:27:17.882Z" }, "containers": { "cna": { "title": "Command Injection in mlflow/mlflow", "providerMetadata": { "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-03-15T09:27:36.706Z" }, "descriptions": [ { "lang": "en", "value": "A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments." } ], "affected": [ { "vendor": "mlflow", "product": "mlflow/mlflow", "versions": [ { "version": "unspecified", "status": "affected", "versionType": "custom", "lessThanOrEqual": "latest" } ] } ], "references": [ { "url": "https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3" } ], "metrics": [ { "cvssV3_0": { "version": "3.0", "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H", "baseScore": 7.5, "baseSeverity": "HIGH" } } ], "problemTypes": [ { "descriptions": [ { "type": "CWE", "lang": "en", "description": "CWE-94 Improper Control of Generation of Code", "cweId": "CWE-94" } ] } ], "source": { "advisory": "229cd526-41aa-4819-b6f0-e2d0371c89e3", "discovery": "EXTERNAL" } }, "adp": [ { "metrics": [ { "other": { "type": "ssvc", "content": { "timestamp": "2026-03-17T03:55:37.361001Z", "id": "CVE-2025-14287", "options": [ { "Exploitation": "poc" }, { "Automatable": "no" }, { "Technical Impact": "total" } ], "role": "CISA Coordinator", "version": "2.0.3" } } } ], "title": "CISA ADP Vulnrichment", "providerMetadata": { "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-03-17T12:44:13.631Z" } }, { "affected": [ { "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "cpes": [ "cpe:/a:redhat:openshift_ai" ], "defaultStatus": "unaffected", "packageName": "rhoai/odh-mlflow-rhel9", "product": "Red Hat OpenShift AI (RHOAI)", "vendor": "Red Hat" }, { "collectionURL": "https://access.redhat.com/downloads/content/package-browser/", "cpes": [ "cpe:/a:redhat:openshift_ai" ], "defaultStatus": "affected", "packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9", "product": "Red Hat OpenShift AI (RHOAI)", "vendor": "Red Hat" } ], "datePublic": "2026-03-15T09:27:36.706Z", "descriptions": [ { "lang": "en", "value": "A flaw was found in MLflow, a platform for managing the machine learning lifecycle. This vulnerability, known as command injection, allows an attacker to execute unauthorized commands on the system. By providing specially crafted input through the `--container` parameter, an attacker can bypass security checks and inject malicious code. This can lead to arbitrary command execution, potentially compromising the integrity and confidentiality of the affected system." } ], "metrics": [ { "other": { "content": { "namespace": "https://access.redhat.com/security/updates/classification/", "value": "Important" }, "type": "Red Hat severity rating" } }, { "cvssV3_1": { "attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "version": "3.1" }, "format": "CVSS" } ], "problemTypes": [ { "descriptions": [ { "cweId": "CWE-78", "description": "Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')", "lang": "en", "type": "CWE" } ] } ], "references": [ { "tags": [ "vdb-entry", "x_refsource_REDHAT" ], "url": "https://access.redhat.com/security/cve/CVE-2025-14287" }, { "name": "RHBZ#2447690", "tags": [ "issue-tracking", "x_refsource_REDHAT" ], "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2447690" }, { "tags": [ "x_sadp-csaf-vex" ], "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-14287.json" } ], "timeline": [ { "lang": "en", "time": "2026-03-15T10:01:24.305Z", "value": "Reported to Red Hat." }, { "lang": "en", "time": "2026-03-15T09:27:36.706Z", "value": "Made public." } ], "title": "mlflow: MLflow: Arbitrary command execution via unsanitized container image names", "x_adpType": "supplier", "x_generator": { "engine": "sadp-cli 1.0.0" }, "providerMetadata": { "orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "shortName": "redhat-SADP", "dateUpdated": "2026-07-15T01:27:17.882Z" } } ] } }