AI Threat AlertAI 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 1961 results — Active exploitationMONAI: unsafe pickle deserialization in NumpyReader RCE
CVE-2026-100845MONAI: OS command injection via nnUNetV2Runner config
CVE-2026-100844MONAI: unsafe pickle deserialization enables RCE
CVE-2026-100843MONAI: eval sandbox bypass allows code execution
CVE-2026-100842MONAI: code execution via malicious bundle config
CVE-2026-100840Froxlor: CSRF on GET silently disables 2FA
CVE-2026-100712Froxlor: sessions and API keys survive password change
CVE-2026-100711vLLM: revision pin bypass loads unpinned HF artifacts
CVE-2026-100653vLLM: prompt-length bypass on disagg endpoint causes DoS
CVE-2026-100651vLLM: unbounded media fetch enables pre-inference DoS
CVE-2026-100650SiYuan: SQL injection leaks all notebook data
CVE-2026-100644SiYuan: path traversal in setNotebookIcon writes files
CVE-2026-100638Flowise: missing authz in upsert-history exposes configs
CVE-2026-100610Flowise: cross-workspace credential IDOR exposes API keys
CVE-2026-100609Flowise: BullMQ dashboard authz gap exposes all tenants
CVE-2026-100608Flowise: SSO email-only matching enables account takeover
CVE-2026-100607Flowise: SSO auth bypass hijacks pending invitations
CVE-2026-100606Flowise: missing RBAC on chat routes exposes chat history
CVE-2026-100605LangChain4j Agentic: unsafe deserialization via Jackson typing
CVE-2026-97869DBHub: readonly mode bypass enables writes and RCE
CVE-2026-61788Frequently 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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