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 1382 results — Active exploitationOpenClaw: symlink traversal enables RCE via agent config
CVE-2026-35632 libcap: TOCTOU race in cap_set_file() enables privesc
CVE-2026-4878 openai-realtime-ui: SSRF in API proxy endpoint
CVE-2026-5803 praisonai: SSTI enables RCE via agent instructions
CVE-2026-39891 praisonaiagents: sandbox escape enables host RCE
CVE-2026-39888 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 OpenHarness: file tool permission bypass leaks files
CVE-2026-22682 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 PraisonAI: path traversal exposes full filesystem via agent tools
CVE-2026-35615 PraisonAI: recipe registry path traversal file write
CVE-2026-39308 PraisonAI: recipe path traversal allows arbitrary file write
CVE-2026-39306 PraisonAI: path traversal enables arbitrary file write/RCE
CVE-2026-39305 PraisonAI: Zip Slip enables arbitrary file write / RCE
CVE-2026-39307 Claude Code: OS command injection, credential theft
CVE-2026-35022 Claude Code CLI: shell injection enables RCE
CVE-2026-35021 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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