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 826 results — has patchopen-webui: RAG poisoning via unauthorized KB overwrite
CVE-2026-44554 open-webui: permission bypass exposes channels publicly
CVE-2026-44558 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: mass assignment enables cross-user folder injection
CVE-2026-44550 open-webui: LDAP auth bypass — full account takeover
CVE-2026-44551 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 n8n-MCP: SSRF allows internal network access via webhook tools
CVE-2026-44694 BentoML: symlink traversal exfiltrates host secrets at build
CVE-2026-40610 diffusers: trust_remote_code bypass enables silent RCE
CVE-2026-44513 vm2: sandbox escape via nesting:true enables RCE
CVE-2026-44007 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 @axonflow/openclaw: credential exposure via insecure file permissions
GHSA-cqmh-pcgr-q42f 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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