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 497 results — Active exploitation, has patchMLflow: missing authZ lets users forge dataset lineage
CVE-2026-69146 MLflow: unauth SSRF via webhook hits cloud metadata
CVE-2026-64849 vLLM: SSRF/LFI bypass in MiMo-V2 multimodal input
CVE-2026-73560 vLLM: integer overflow leaks other users' output
CVE-2026-73558 vLLM: ReDoS in structured output stalls engine
CVE-2026-73556 SiYuan: authZ gap leaks private PDF annotations
CVE-2026-72808 SiYuan: second-order SQLi via malicious template packages
CVE-2026-72807 SiYuan: key material leak enables offline cracking
CVE-2026-72801 SiYuan: broken access control exposes private docs
CVE-2026-72799 SiYuan: missing authz leaks encrypted notebook metadata
CVE-2026-72797 SiYuan: missing authz leaks notebook metadata
CVE-2026-72790 SiYuan: broken access control leaks encrypted notes
CVE-2026-72789 SiYuan: getConf leaks session key, enables admin takeover
CVE-2026-72793 Claude Code Templates: unauth RCE via shell injection
CVE-2026-73222 Keras: OOM DoS via malicious .keras model load
CVE-2026-12570 crypto-js: weak PRNG enables wallet key recovery
CVE-2026-71851 PraisonAI: SSRF bypass in web_crawl via TOCTOU/rebinding
CVE-2026-55524 PraisonAI: SSRF via redirect bypass in web_crawl()
CVE-2026-55523 PraisonAI: RCE via workflow include bypasses safe loader
CVE-2026-55522 open-webui: ReDoS via knowledge search DoS
CVE-2026-70493 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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