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 1069 results — Active exploitationPraisonAI: auth bypass disables agent safety controls
CVE-2026-40149 PraisonAI: unbounded body read enables local DoS
CVE-2026-40115 LiteLLM: RCE via bytecode rewriting in guardrails API
CVE-2026-40217 lollms: Stored XSS enables wormable account takeover
CVE-2026-1115 OpenClaw: SSRF via web-fetch enables internal network pivot
CVE-2026-6011 PraisonAIAgents: SSRF exposes cloud metadata via web_crawl
CVE-2026-40150 PraisonAI: arbitrary file read via unguarded skill tool
CVE-2026-40117 PraisonAI: unauth WebSocket drains OpenAI API credits
CVE-2026-40116 PraisonAI: arg injection injects env vars into Cloud Run
CVE-2026-40113 PraisonAI: XSS via no-op HTML sanitizer in agent output
CVE-2026-40112 PraisonAI: RCE via shell injection in memory hooks executor
CVE-2026-40111 openai-realtime-ui: SSRF in API proxy endpoint
CVE-2026-5803 praisonai: SSTI enables RCE via agent instructions
CVE-2026-39891 PraisonAI: YAML deserialization enables unauthenticated RCE
CVE-2026-39890 LobeChat: auth bypass via forged XOR obfuscated header
CVE-2026-39411 lollms: sessions persist after password reset
CVE-2026-1163 text-generation-webui: unauthenticated path traversal file read
CVE-2026-35485 MLflow: auth bypass exposes model artifacts across experiments
CVE-2026-33866 MLflow: stored XSS via MLmodel YAML artifact upload
CVE-2026-33865 HuggingFace Transformers: RCE via malicious checkpoint load
CVE-2026-1839 Frequently 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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