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 2346 results — no patchFlowise: sandbox escape via puppeteer.launch() to RCE
CVE-2026-73483 JupyterLab: XSS via SVG blob URL race enables RCE
CVE-2026-73415 SiYuan: unauth info leak exposes admin workspace via getConf
CVE-2026-72788 OneCompression: RCE via malicious .pt checkpoint load
CVE-2026-73325 389-ds-base: double-free in LDAP control handling
CVE-2026-18663 snowflake.core: injection enables privilege escalation
CVE-2026-19594 Velociraptor: VQL auth-reset lets analyst gain investigator role
CVE-2026-64954 InsydeH2O UEFI: unverified boot allows local code execution
CVE-2026-6484 TypeBot: SSRF via audio transcription URL fetch
CVE-2026-48762 vLLM: Gaudi plugin input flaw enables local DoS
CVE-2026-27765 Intel Extension for TensorFlow: local privesc flaw
CVE-2026-20728 LLM-on-Ray: local privilege escalation flaw
CVE-2026-28707 Sub2API: path traversal leaks pooled AI credentials
CVE-2026-73079 TypeBot: guest role exfiltrates OpenAI keys via SSRF
CVE-2026-48766 Velociraptor: path traversal corrupts ACL/hunt metadata
CVE-2026-18640 n8n: SQL injection via PostgresTrigger node
CVE-2026-72775 n8n: credential auth bypass in HTTP Request node
CVE-2026-72774 n8n: path traversal leaks arbitrary local files
CVE-2026-72773 n8n: account takeover via unverified SSO email claim
CVE-2026-72772 n8n: allowlist bypass in AI nodes leaks credentials
CVE-2026-72771 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?
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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