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 1029 results — High severityPraisonAI: unauthenticated API triggers agent workflows
CVE-2026-44338 LangChain: deserialization poisons LLM chat history
CVE-2026-44843 Open WebUI: path traversal + file upload leads to RCE
CVE-2026-44566 Open 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: RAG poisoning via unauthorized KB overwrite
CVE-2026-44554 open-webui: auth bypass allows unrestricted model access
CVE-2026-44556 open-webui: access control bypass via model chaining
CVE-2026-44555 open-webui: Redis cache poisoning enables cross-instance tool hijack
CVE-2026-44552 open-webui: stale Socket.IO role allows cross-user note R/W
CVE-2026-44553 open-webui: XSS in model descriptions steals session tokens
CVE-2026-44721 n8n-mcp: path traversal + SSRF exposes n8n API keys
GHSA-8g7g-hmwm-6rv2 LiteLLM: RCE via MCP test endpoint command injection
CVE-2026-42271 LiteLLM: SSTI in prompt template endpoint enables RCE
CVE-2026-42203 diffusers: trust_remote_code bypass enables silent RCE
CVE-2026-44513 diffusers: silent RCE via None.py trust_remote_code bypass
GHSA-j7w6-vpvq-j3gm Aegra: cross-tenant IDOR hijacks user thread data
CVE-2026-44504 praisonai: RCE via unpatched tool_override exec_module
CVE-2026-44334 praisonaiagents: SSRF via URL parser confusion bypass
CVE-2026-44335 GitPython: git config injection enables hook RCE
CVE-2026-44244 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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