AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 99 results — Critical severity, Active exploitation, has patchPillow: heap overflow via lossless JPEG in thumbnail()
CVE-2026-112403Mercury: regex blocklist bypass allows unauthenticated RCE
CVE-2026-111057PraisonAI: code injection in deploy API enables RCE
CVE-2026-62176Langflow: MCP stdio command injection allows host RCE
CVE-2026-105697vm2: node:sqlite sandbox escape allows native code RCE
CVE-2026-92938vm2: native code exec via crypto.setEngine sandbox escape
CVE-2026-92939Decepticon: ChatML token injection yields sandbox RCE
CVE-2026-61732LMDeploy: unsafe pickle deserialization allows RCE
CVE-2025-59953NLTK: pickle allowlist bypass enables RCE
CVE-2026-79657unstructured: SSRF via url= param exposes internal APIs
CVE-2026-71428Pimcore: DataObject field-name injection → RCE
CVE-2026-55634Pimcore: PHP deserialization flaw enables RCE
CVE-2026-55220LiteLLM: unauth SSTI in /prompts/test enables RCE
CVE-2026-37004Chainlit: unauth RCE via MCP stdio cmd injection
CVE-2026-45018PraisonAI: WebSocket auth bypass hijacks browser agent
CVE-2026-55536Xinference: eval() on LLM output enables RCE
CVE-2026-61539Qinglong panel: unauth admin credential reset bypass
CVE-2026-55445Froxlor: API leaks password hashes & TOTP seeds
CVE-2026-62988CodeWhale: git_show argument injection enables file write
CVE-2026-75913MLflow: unauth SSRF via webhook hits cloud metadata
CVE-2026-64849Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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