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 943 results — High severity, Active exploitationpicklescan: scanner blind spot enables pickle RCE
CVE-2025-71364picklescan: scanner bypass enables RCE via numpy eval
CVE-2025-71362picklescan: scanner bypass enables pickle RCE
CVE-2025-71360picklescan: scan bypass lets malicious models RCE
CVE-2025-71359picklescan: torch.fx gadget bypasses malicious-pickle detection
CVE-2025-71356picklescan: detection bypass allows pickle RCE
CVE-2025-71353picklescan: numpy.f2py bypass lets malicious pickle evade scan
CVE-2025-71347picklescan: scanner blocklist bypass hides pickle RCE
CVE-2025-71345picklescan: scanner bypass lets malicious pickle files evade detection
CVE-2025-71343picklescan: idlelib bypass hides pickle RCE
CVE-2025-71342langroid: SQL blocklist bypass leaks Postgres files
CVE-2026-50180Langroid: path traversal escapes sandboxed file tools
CVE-2026-50181MLflow: auth bypass allows cross-experiment trace access
CVE-2026-8147Gradio: path traversal in FileExplorer leaks files
CVE-2026-49119auth-fetch-mcp: SSRF bypass via IPv6 loopback
CVE-2026-49857Ray: RCE via pickle/torch deserialization in WebDataset
CVE-2026-57516picklescan: scanner bypass enables pickle RCE
CVE-2025-71374picklescan: malicious pickle bypasses RCE scan
CVE-2025-71371picklescan: scan bypass lets malicious pickles hit RCE
CVE-2025-71368picklescan: scanner bypass enables pickle RCE
CVE-2025-71363Frequently 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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