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 761 results — Medium severity, no patchckan-mcp-server: cache key collision enables poisoning
CVE-2026-73846 InsydeH2O UEFI: buffer overflow in PlatformLangCodes var
CVE-2021-43614 InsydeH2O UEFI: password hashes exposed, privesc risk
CVE-2021-43613 LiteLLM: param injection leaks provider API keys
CVE-2026-84377 APM Server: memory-exhaustion DoS via source maps
CVE-2026-78594 Kibana: missing authz leaks APM server credentials
CVE-2026-78608 Filament: stale TOTP code stays valid, bypassing MFA reuse block
CVE-2026-84306 pdfme: XSS via unsanitized i18n labels in Designer
CVE-2026-82865 browser-use web-ui: stores LLM API keys in cleartext
CVE-2026-82640 browser-use: arbitrary directory creation via paths
CVE-2026-82637 ash_paper_trail: sensitive fields leak in version logs
CVE-2026-75847 Formwork: stored XSS via unescaped Referer header in stats
CVE-2026-82451 Langflow: authz flaw lets users run others' AI flows
CVE-2026-19294 Langflow: SSRF lets authenticated users probe internal network
CVE-2026-18545 Chainlit: IDOR lets users tamper with others' feedback
CVE-2026-82290 FFmpeg: heap overflow via crafted TDSC cursor in video
CVE-2026-18393 crewai-tools: SQLi in NL2SQLTool allows DB compromise
CVE-2026-37009 Veno File Manager: unauth log disclosure via broken ACL
CVE-2026-37067 Booking Calendar: IDOR enables employee account takeover
CVE-2026-14212 X-AnyLabeling: MITM model swap yields RCE via torch.load
CVE-2026-79785 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?
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