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 4307 resultsSplunk Table Editor: stored SPL escalates power→admin
CVE-2026-76341Splunk Enterprise: SPL injection via Dataset Explorer
CVE-2026-76254GeoLens: authz flaws leak private geospatial data
GHSA-p77j-g7h5-r2vwLangGraph API: authz bypass leaks assistant config
CVE-2026-55236langgraph-api: loopback webhook bypasses cross-user auth
CVE-2026-55235marimo: code injection via malicious MCP server config
CVE-2026-75149Langflow: missing auth allows admin takeover
CVE-2026-19875Grav API Plugin: authz bypass enables privilege escalation
CVE-2026-64852InsydeH2O: UEFI variable flaw exposes HDD password
CVE-2026-8810FreeBSD ZFS: unprivileged user can spoof recv metadata flag
CVE-2026-49431Froxlor: API leaks password hashes & TOTP seeds
CVE-2026-62988PeopleSoft: Panel Processor flaw enables unauthorized data access
CVE-2026-60884Froxlor: stored XSS in DNS TXT record hijacks admin
CVE-2026-54347Blueprint Studio: broken authz grants full HA control
CVE-2026-53453MONAI: NumpyReader RCE via forced allow_pickle=True
GHSA-wg9g-w2j2-8pgrMONAI: OS command injection via crafted YAML config
GHSA-rghg-q7wp-9767MONAI: unpatched pickle deserialization enables RCE
GHSA-qxq5-qhx6-94qwMeshCentral: stored XSS via unsanitized agent osdesc field
GHSA-c7hr-448w-65pxGeoLens: IDOR leaks private datasets via AI metadata API
CVE-2026-55178CodeWhale: git_show argument injection enables file write
CVE-2026-75913Frequently 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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