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CRITICAL CVE-2026-64849: MLflow SSRF Exploited to Steal Cloud Credentials // HIGH CoSnitch Attack Forces Copilot to Expose Its Own Architecture // FIRST LOOK OpenAI Adds Chain-of-Thought Monitoring to Astra Safety Controls // HIGH Shostack's LLM Threat Model Responds to Hugging Face Attack // HIGH Naming Error Lets Anthropic AI Models Attack Real Company // HIGH Israel-Linked Fake Think Tank Targets LLM Training Data // CRITICAL GitHub Copilot Autofix Introduced CI/CD Injection in Snowflake // CRITICAL Claude Agents Create Self-Replicating Malware in Turf War // FIRST LOOK Anthropic MCP Server Security Risks and Secrets Exposure Explained // HIGH OpenAI Disbands Preparedness Team Amid IPO Safety Concerns //
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CVE-2026-64849: MLflow SSRF Exploited to Steal Cloud Credentials

CVE-2026-64849: MLflow SSRF Exploited to Steal Cloud Credentials

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 The Hacker News

A critical unauthenticated SSRF vulnerability in MLflow (CVE-2026-64849, CVSS 9.3) is being actively exploited within hours of CVE assignment, allowing attackers to proxy requests through exposed Tracking Servers to cloud metadata endpoints and exfiltrate credentials and secrets. Threat intelligence from watchTowr's honeypot telemetry confirms indiscriminate scanning of internet-facing MLflow instances targeting well-known internal IP ranges. Organisations running MLflow versions below 3.15.0 are at immediate risk and should treat this as a critical, time-sensitive patching priority.

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