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 1908 results — High severityKestra: stored XSS via crafted [[link]] flow description
CVE-2026-55839MLflow: missing authz check leaks private artifacts
CVE-2026-69148atomic-agents: unpriced models silently bypass cost cap
GHSA-j659-8xh6-5pq5Evidently: unauth path traversal leaks any file
CVE-2026-75111Budibase: SSRF in automations reaches cloud metadata
CVE-2026-35219PyCharm: unauthenticated Jupyter MCP tools enable RCE
CVE-2026-75060SiYuan: 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-2026-73608SiYuan: second-order SQLi via malicious template packages
CVE-2026-72807SiYuan: key material leak enables offline cracking
CVE-2026-72801SiYuan: broken access control leaks encrypted notes
CVE-2026-72789SiYuan: getConf leaks session key, enables admin takeover
CVE-2026-72793OneCompression: 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-2026-6484Claude Code Templates: unauth RCE via shell injection
CVE-2026-73222Frequently 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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