Executive Summary
A critical MLflow SSRF flaw is exploited to reach internal endpoints and steal cloud credentials.
What Happened
The critical-severity flaw allows attackers to send HTTP requests to internal endpoints and extract sensitive information. The post MLflow Vulnerability Exploited for Cloud Credential Theft appeared first on SecurityWeek .
Affected Products
- MLflow
Vulnerability / Attack Technique
SSRF in an ML platform
Technical Mechanism
Requests to internal metadata endpoints leak credentials.
AI Security Category
LLM03:2025 Supply Chain
Part of the AI Supply Chain and AI SBOM topic.
Relevant Frameworks
RealGround Analysis
ML platforms run with broad cloud roles. RealGround analysis: scope MLflow's cloud permissions tightly.
Recommended Controls
- Update MLflow
- Block metadata endpoint access from MLflow hosts
Related RealGround Service
AI Agent SBOM and LLM Mapping · or start with the free AI Agent Security Scanner.
Sources
securityweek.com: https://www.securityweek.com/mlflow-vulnerability-exploited-for-cloud-credential-theft/
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.