CVE-2026-64849

MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)

Description

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.

Scores

Weaknesses (CWE)

• CWE-918

Advisories

• GHSA-7gwp-5pfp-969j — MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
• PYSEC-2026-3687 — MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)

European references

• ENISA EUVD · EUVD-2026-60473
• GCVE · GCVE-0-2026-64849

Affected configurations (NVD CPE)

• cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:* ≥ 3.3.0 < 3.15.0

Affected products

References

• https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j
• https://github.com/mlflow/mlflow/issues/24179
• https://github.com/mlflow/mlflow/pull/24258
• https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939
• https://github.com/mlflow/mlflow/releases/tag/v3.15.0
• https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849

Sources