Vulnerability Details CVE-2026-64849
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.
Exploit prediction scoring system (EPSS) score
EPSS Score 0.1
EPSS Ranking 95.6%
CVSS Severity
CVSS v3 Score 9.3
Proposed Action
MLflow contains a server-side request forgery vulnerability that can allow attackers to reach internal or cloud metadata services and receive response_status and response_body.
Ransomware Campaign
Unknown
References
- https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939
- https://github.com/mlflow/mlflow/issues/24179
- https://github.com/mlflow/mlflow/pull/24258
- https://github.com/mlflow/mlflow/releases/tag/v3.15.0
- https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849
Products affected by CVE-2026-64849
-
cpe:2.3:a:lfprojects:mlflow:3.10.0
-
cpe:2.3:a:lfprojects:mlflow:3.10.1
-
cpe:2.3:a:lfprojects:mlflow:3.11.0
-
cpe:2.3:a:lfprojects:mlflow:3.11.1
-
cpe:2.3:a:lfprojects:mlflow:3.12.0
-
cpe:2.3:a:lfprojects:mlflow:3.13.0
-
cpe:2.3:a:lfprojects:mlflow:3.14.0
-
cpe:2.3:a:lfprojects:mlflow:3.3.0
-
cpe:2.3:a:lfprojects:mlflow:3.3.1
-
cpe:2.3:a:lfprojects:mlflow:3.3.2
-
cpe:2.3:a:lfprojects:mlflow:3.4.0
-
cpe:2.3:a:lfprojects:mlflow:3.5.0
-
cpe:2.3:a:lfprojects:mlflow:3.5.1
-
cpe:2.3:a:lfprojects:mlflow:3.6.0
-
cpe:2.3:a:lfprojects:mlflow:3.7.0
-
cpe:2.3:a:lfprojects:mlflow:3.8.0
-
cpe:2.3:a:lfprojects:mlflow:3.8.1
-
cpe:2.3:a:lfprojects:mlflow:3.9.0