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 229 results — Critical severity, no patchpicklescan: stdlib bypass enables arbitrary RCE
CVE-2026-56315 Flowise: RCE via MCP server command validation bypass
CVE-2026-56274 n8n: SSRF bypasses allowlist, exfiltrates credentials
CVE-2026-56348 Langflow: auth bypass + unauthenticated RCE (CVSS 10)
CVE-2026-10561 Langflow: auth bypass in MCP endpoint, CVSS 9.8
CVE-2026-7664 Flowise: RCE and sandbox escape via overrideConfig
CVE-2024-58351 pgAdmin 4: Stored XSS enables full browser session hijack
CVE-2026-12048 picklescan: scanner bypass enables pickle RCE
CVE-2026-53874 picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873 picklescan: blocklist bypass enables full RCE
CVE-2026-3490 picklescan: scanner bypass enables RCE via model files
CVE-2025-71325 picklescan: ctypes bypass enables full RCE via pickle files
CVE-2025-71323 picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321 picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320 Oracle Coherence: unauthenticated HTTP full takeover
CVE-2026-35310 Oracle Coherence: unauthenticated RCE via HTTP (CVSS 9.8)
CVE-2026-35309 Oracle Coherence: unauthenticated RCE via third-party jars
CVE-2026-35308 Oracle Coherence: unauthenticated RCE, CVSS 10.0
CVE-2026-35307 Oracle Coherence: unauthenticated data access via HTTP
CVE-2026-35306 Oracle Coherence: unauth data exfiltration via bundled libs
CVE-2026-35305 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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