CVE-2026-64849
CRITICAL
9,3
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: changed
Confidentiality: high
Integrity: low
Availability: none
Description
AI Translation Available
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. 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.
EPSS (Exploit Prediction Scoring System)
Trend Analysis
EPSS (Exploit Prediction Scoring System)
Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.
EPSS Score
0,0815
Percentile
0,9th
Updated
EPSS Score Trend (Last 7 Days)
918
Server-Side Request Forgery (SSRF)
IncompleteCommon Consequences
Security Scopes Affected:
Confidentiality
Integrity
Access Control
Potential Impacts:
Read Application Data
Execute Unauthorized Code Or Commands
Bypass Protection Mechanism
Applicable Platforms
Technologies:
Web Based, AI/ML, Web Server
Application
Mlflow by Lfprojects
Version Range Affected
To
3.15.0
(exclusive)
CPE Identifier
View Detailed Analysis
cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
Common Platform Enumeration - Standardized vulnerability identification
https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026…
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