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 565 results — Medium severity, Active exploitationViewComponent: stale context leaks admin UI cross-user
CVE-2026-54497PraisonAI: broken authz lets members hijack labels
CVE-2026-61440PraisonAI: approval caching flaw enables file write abuse
CVE-2026-60087jadx-gui: HTML injection in APK Summary tab leaks IP
CVE-2026-42447HashNeRF: torch.load deserialization allows local RCE
CVE-2026-15531n8n-workflow-builder: path traversal via filePath arg
CVE-2026-15521PraisonAI: path traversal leaks files into LLM prompts
CVE-2026-60088PraisonAI: IDOR lets members delete owner dependencies
CVE-2026-61441PraisonAI: FastContext path traversal leaks host files
CVE-2026-61432PraisonAI: path traversal leaks arbitrary files
CVE-2026-61431PraisonAI: config.toml path traversal overwrites files
CVE-2026-60089PraisonAI: injection filter bypass at HIGH threat level
CVE-2026-60086SiYuan: broken access control leaks private note data
CVE-2026-59853OpenClaw Android: command injection via WebView bridge
CVE-2026-15193Open WebUI: channel IDOR leaks tool-server API keys
CVE-2026-59222Open WebUI: read-only users can inject files into RAG KBs
CVE-2026-59217Open WebUI: ReDoS in skill mentions blocks event loop
CVE-2026-59220Open WebUI: image-edit API bypasses admin permission gate
CVE-2026-59227pyload-ng: IPv6 SSRF bypass evades internal-IP guard
CVE-2026-48737AVideo Meet: stored XSS via unescaped User-Agent
CVE-2026-60092Frequently 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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