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 1382 results — Active exploitationpicklescan: scanner bypass lets malicious pickle files evade detection
CVE-2025-71343 picklescan: idlelib bypass hides pickle RCE
CVE-2025-71342 Keras: safe_mode=None bypass enables Lambda RCE
CVE-2026-12481 Langroid: path traversal escapes sandboxed file tools
CVE-2026-50181 PraisonAI: IDOR cross-tenant data pollution
CVE-2026-58653 MLflow: auth bypass allows cross-experiment trace access
CVE-2026-8147 Gradio: path traversal in FileExplorer leaks files
CVE-2026-49119 Ray: RCE via pickle/torch deserialization in WebDataset
CVE-2026-57516 Keras: incomplete fix reopens HDF5 arbitrary file read
CVE-2026-12480 ClearML: path traversal in zip extraction enables RCE
CVE-2026-8387 picklescan: scanner bypass enables pickle RCE
CVE-2025-71374 picklescan: malicious pickle bypasses RCE scan
CVE-2025-71371 picklescan: scan bypass lets malicious pickles hit RCE
CVE-2025-71368 picklescan: scanner bypass enables pickle RCE
CVE-2025-71363 Picklescan: NumPy gadget bypass enables pickle RCE
CVE-2025-71355 picklescan: RCE bypass via trace.Trace.runctx
CVE-2025-71352 picklescan: scanner bypass enables pickle RCE
CVE-2025-71350 picklescan: bypass allows undetected pickle RCE
CVE-2025-71349 Open WebUI: SSRF in web retrieval hits internal services
CVE-2026-56399 Langflow: auth bypass in MCP transport exposes projects
CVE-2026-7663 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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