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 1431 results — has patchvLLM: integer truncation leaks GPU memory cross-tenant
CVE-2026-53923vLLM: NaN/Inf bypass crashes GPU inference workers
CVE-2026-54235n8n: viewer role can start/cancel/delete eval workflow runs
GHSA-664h-gpgq-h6xxNuxt: NoScript XSS enables script execution in head
GHSA-m3q2-p4fw-w38mLiteLLM: auth bypass via Host header spoofing
CVE-2026-49468backpropagate: auth bypass exposes LLM training plane
CVE-2026-48797n8n: credential exfiltration via SecurityScorecard SSRF node
CVE-2026-54304n8n: MCP browser auth bypass allows full browser takeover
CVE-2026-54309n8n: IDOR enables OAuth credential hijack in agent workflows
CVE-2026-54305n8n: credential hijack via partial authorization bypass
CVE-2026-54307n8n: decompression bomb DoS via public webhook
CVE-2026-54314pydantic-ai: SSRF IPv6 bypass exposes cloud IAM creds
CVE-2026-48782n8n: read-only users can trigger workflow execution via API
GHSA-h3jj-5f3v-3685n8n: AST bypass leaks env vars in Python Task Runner
GHSA-jwm3-qcfw-c5ppn8n: stored XSS in Chat Trigger enables session hijack
CVE-2026-54302n8n: reflected XSS in trigger nodes enables session hijack
CVE-2026-54303n8n: prototype pollution renders instance non-functional
CVE-2026-54312n8n: prototype pollution leaks cross-user workflow data
CVE-2026-54311n8n: webhook prototype pollution enables confused deputy
CVE-2026-54306n8n: XSS via CSP bypass steals user sessions
CVE-2026-54301Frequently 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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