AI Threat AlertAI 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 4307 resultsn8n: path traversal enables cross-project approval forgery
CVE-2026-103254n8n: SQL injection in Oracle node Drop Table operation
CVE-2026-103253n8n: authz bypass in credential test leaks variables
CVE-2026-103252n8n: queue-mode package install bypass via Redis
CVE-2026-103251n8n: NoSQL injection in MongoDB Chat Memory node
CVE-2026-103250n8n: stored DOM XSS in Resource Locator dropdown
CVE-2026-103249n8n: Supabase node filter injection exposes tables
CVE-2026-103248n8n: duplicate node IDs bypass credential tamper guard
CVE-2026-103247n8n: missing credential ownership check leaks secrets
CVE-2026-103246n8n: missing Webflow HMAC check allows forged triggers
CVE-2026-103245Redux Framework: stored XSS via user meta merge
CVE-2026-90992MISP: reflected XSS in analyst data notes panel
CVE-2026-103664OpenClaw Windows Node: env sanitizer bypass allows RCE
CVE-2026-101884OpenClaw Windows Node: SSRF via canvas.present bypass
CVE-2026-101883OpenClaw Windows Node: weak exec approvals allow RCE
CVE-2026-101882OpenClaw Windows Node: WebSocket memory exhaustion DoS
CVE-2026-101881OpenClaw Windows Node: approval bypass via pipe/subst
CVE-2026-101880OpenClaw Windows Node: missing authz allows silent camera/screen capture
CVE-2026-101879vLLM: Gemma4 parser flaw allows remote DoS
CVE-2026-103241rpm: heap overflow via crafted package hits RHOAI images
CVE-2026-103242Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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