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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1295 results — High severity, no patchSiYuan: unthrottled brute-force exposes published notes
CVE-2026-74868Edimax EW-7478APC: command injection via rootAPmac
CVE-2026-19960SiYuan: brute-force bypass of notebook publish passwords
CVE-2026-73045JupyterLab: missing await bypasses extension allowlist
CVE-2026-73626SiYuan: missing authz exposes filtered DB rows
CVE-2026-73608OneCompression: RCE via malicious .pt checkpoint load
CVE-2026-73325snowflake.core: injection enables privilege escalation
CVE-2026-19594Velociraptor: VQL auth-reset lets analyst gain investigator role
CVE-2026-64954InsydeH2O UEFI: unverified boot allows local code execution
CVE-2026-6484Sub2API: path traversal leaks pooled AI credentials
CVE-2026-73079TypeBot: guest role exfiltrates OpenAI keys via SSRF
CVE-2026-48766Velociraptor: path traversal corrupts ACL/hunt metadata
CVE-2026-18640n8n: SQL injection via PostgresTrigger node
CVE-2026-72775n8n: credential auth bypass in HTTP Request node
CVE-2026-72774n8n: path traversal leaks arbitrary local files
CVE-2026-72773n8n: account takeover via unverified SSO email claim
CVE-2026-72772n8n: SSRF bypass in MCP Client node exposes internal hosts
CVE-2026-72768n8n: Git node RCE via malicious repo hooks
CVE-2026-72767n8n: Send Email node type confusion enables SSRF, LFI
CVE-2026-72766n8n: arbitrary file write via Edit Image node format param
CVE-2026-72762Frequently 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.
Start 14-Day Free Trial