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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 859 results — High severity, no patchpicklescan: scan bypass lets malicious models RCE
CVE-2025-71359 picklescan: torch.fx gadget bypasses malicious-pickle detection
CVE-2025-71356 picklescan: detection bypass allows pickle RCE
CVE-2025-71353 picklescan: numpy.f2py bypass lets malicious pickle evade scan
CVE-2025-71347 picklescan: scanner blocklist bypass hides pickle RCE
CVE-2025-71345 picklescan: scanner bypass lets malicious pickle files evade detection
CVE-2025-71343 picklescan: idlelib bypass hides pickle RCE
CVE-2025-71342 Azure OpenAI: SSRF flaw enables privilege escalation
CVE-2026-45499 OpenAI Chatbot WP Helper: unauth content deletion
CVE-2025-69134 Gradio: path traversal in FileExplorer leaks files
CVE-2026-49119 WPBot: unauthenticated stored XSS via chatbot conversation field
CVE-2026-13731 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: 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 Langflow: SSRF via RSS/SearXNG exposes cloud IAM creds
CVE-2026-10564 Langflow: SSRF protection bypass via redirect
CVE-2026-10129 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial