CVE-2026-64849

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

En bref

Sévérité
CRITICAL 9.3
Exploitation
Exploitation connue (CISA KEV) · ajoutée le 2026-08-19
Exploitée selon l'ENISA depuis le 2026-08-19
EPSS
EPSS 10.02 % · centile 96 (2026-10-27)
État
PUBLISHED
Publiée
Mise à jour
Attribuée par
GitHub_M
Statut NVD
Analyzed

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

VersionScoreVecteurÉvalué par
CVSS 3.1CRITICAL 9.3CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:NGitHub_M
CVSS 3.1CRITICAL 9.3CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:NNVD · security-advisories@github.com (Secondary)

Faiblesses (CWE)

Avis

Références européennes

Configurations affectées (CPE NVD)

Produits affectés

ProduitVersions
mlflow · mlflowaffected >= 3.3.0, < 3.15.0

Références

Sources

SourceLicence
CVE List (CVEProject cvelistV5)CVE Program Terms of Use
CISA Known Exploited VulnerabilitiesCC0 1.0
EPSS (FIRST.org)FIRST — attribution requested
ENISA EUVDENISA — reproduction authorised, source acknowledged
NVD (NIST) via fkie-cad/nvd-json-data-feedsPublic domain — this product uses data from the NVD API but is not endorsed or certified by the NVD