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 509 results — High severity, Active exploitationOpen WebUI: auth bypass gives pending users full LLM access
CVE-2026-44567 open-webui: XSS via XLSX preview enables session hijack
CVE-2026-44549 open-webui: access control bypass via model chaining
CVE-2026-44555 open-webui: XSS in model descriptions steals session tokens
CVE-2026-44721 LiteLLM: RCE via MCP test endpoint command injection
CVE-2026-42271 praisonaiagents: SSRF via URL parser confusion bypass
CVE-2026-44335 GitPython: git config injection enables hook RCE
CVE-2026-44244 mistune: ReDoS exposes Jupyter/AI services to DoS
CVE-2026-33079 PPTAgent: eval injection enables RCE via LLM prompt injection
CVE-2026-42079 Jupyter Server: path traversal leaks sibling directories
CVE-2026-35397 marked: infinite recursion DoS crashes Node.js via OOM
CVE-2026-41680 Flowise: unauth API key abuse via TTS endpoint IDOR
CVE-2026-41279 Flowise: credential exposure in public chatflow API
CVE-2026-41278 Flowise: mass assignment enables cross-workspace IDOR
CVE-2026-41277 Flowise: HTTP password reset link allows MITM takeover
CVE-2026-41275 Flowise: auth bypass exposes OAuth 2.0 tokens
CVE-2026-41273 Flowise: SSRF bypass via DNS rebinding exposes internal networks
CVE-2026-41272 Flowise: SSRF via prompt template injection in API Chain
CVE-2026-41271 Flowise: SSRF bypass exposes cloud metadata services
CVE-2026-41270 Flowise: unrestricted file upload enables persistent RCE
CVE-2026-41269 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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