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 1010 results — Active exploitation, no patchLollms: stored XSS in prompt-share DM inbox
CVE-2026-12228 TGI: SSRF via image_url exposes cloud metadata creds
CVE-2026-63086 AVideo: stored XSS in YPTSocket enables admin takeover
CVE-2026-54458 DataEase: stored SQL injection via dataset variables
CVE-2026-45535 PraisonAI: RCE via unsigned plugin auto-load
CVE-2026-61446 PraisonAI: path traversal leads to RCE via SkillTools
CVE-2026-61443 PraisonAI: broken authz lets members hijack labels
CVE-2026-61440 PraisonAI: RCE via broken AST sandbox in workflows
CVE-2026-61438 PraisonAI: missing webhook signature check spoofs agents
CVE-2026-61436 PraisonAI: Host header spoof bypasses agent auth
CVE-2026-61435 PraisonAI: code injection via unsafe config codegen
CVE-2026-61433 PraisonAI: DNS rebinding SSRF bypass in web_crawl
CVE-2026-61430 PraisonAI: MCP server auth bypass by default
CVE-2026-61427 PraisonAI: approval caching flaw enables file write abuse
CVE-2026-60087 Open WebUI: CORS misconfig + CSRF enables admin RCE
CVE-2026-56400 jadx-gui: HTML injection in APK Summary tab leaks IP
CVE-2026-42447 CrewAI: SSRF filter bypass via DNS rebinding
CVE-2026-62240 HashNeRF: torch.load deserialization allows local RCE
CVE-2026-15531 n8n-workflow-builder: path traversal via filePath arg
CVE-2026-15521 PraisonAI: RCE via unsandboxed LLM code execution
CVE-2026-61447 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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