Server-side request forgery in mlflow
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- —
- Confidentiality · integrity · availability
- High · Low · None
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA, GitHub and Red Hat.
Summary
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.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Active
- Automatable
- Yes
- Technical impact
- Partial
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| MLflow | mlflow | 3.3.0 to before 3.15.0 | 3.15.0 | Patch available | CNA |
| — | mlflow (PyPI) | 3.3.0 to before 3.15.0 | 3.15.0 | Patch available | GHSA-7gwp-5pfp-969j |
- mlflow VendorMLflow Affected 3.3.0 to before 3.15.0 Fixed in 3.15.0 Patch available CNA
- mlflow (PyPI) Vendor— Affected 3.3.0 to before 3.15.0 Fixed in 3.15.0 Patch available GHSA-7gwp-5pfp-969j
Remediation
- Fix · CNA mlflow (mlflow) Fixed in 3.15.0
- Fix · GHSA-7gwp-5pfp-969j mlflow (PyPI) Fixed in 3.15.0 Advisory →
Red Hat 2 advisories
- RHSA-2026:60520 Released 2026-08-27 · Red Hat rating CriticalRHOAI 3.4.4 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.4 registry.redhat.io/rhoai/odh-automl-rhel9, registry.redhat.io/rhoai/odh-autorag-rhel9, registry.redhat.io/rhoai/odh-built-in-detector-rhel9 +47
- RHSA-2026:60367 Released 2026-08-26 · Red Hat rating CriticalRHOAI 3.5 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.5 registry.redhat.io/rhoai/odh-latency-predictor-prediction-rhel9, registry.redhat.io/rhoai/odh-latency-predictor-training-rhel9
Vendor assessments
Red Hat
Red Hat rating: Important. Red Hat's page for this CVE →
| Product | Status | Plan or fix |
|---|---|---|
| Red Hat OpenShift AI 3.4 | Fixed | RHSA-2026:60520 |
| Red Hat OpenShift AI 3.5 | Fixed | RHSA-2026:60367 |
Not affected: 2 products
- Red Hat OpenShift AI (RHOAI)
- Red Hat OpenShift AI 3.4
Timeline
- 2026-08-19 Added to CISA KEV
- 2026-10-02 Threatist record created from CVE-2026-64849
- 2026-10-03 Alias added: GHSA-7gwp-5pfp-969j
References
Exploit 2
Patch 2
Advisory 2
More Mlflow vulnerabilities
- TI-2023-03518 Absolute Path Traversal in mlflow/mlflow CVSS 3.1CRITICAL 10.0
- TI-2023-01113 Path Traversal: '\..\filename' in mlflow/mlflow CVSS 3.1CRITICAL 9.8
- TI-2025-14028 Command Injection in mlflow/mlflow CVSS 3.1CRITICAL 10.0
- TI-2023-05540 MLflow Authentication Bypass CVSS 3.1CRITICAL 9.8
- TI-2023-02603 Path Traversal: '\..\filename' in mlflow/mlflow CVSS 3.1CRITICAL 9.8
- TI-2026-00348 Missing Authentication for Critical Function in mlflow/mlflow CVSS 3.1CRITICAL 9.8
Sources
- CVE-2026-64849 · CVE Program
- CVE-2026-64849 · NVD
- CISA Known Exploited Vulnerabilities
- FIRST EPSS
- GHSA-7gwp-5pfp-969j · GitHub Advisory Database · CC BY 4.0
- CVE-2026-64849 · Red Hat security data · CC BY 4.0
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences