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 bypass enables arbitrary code execution
CVE-2025-71370picklescan: detection bypass enables RCE via numpy.f2py
CVE-2025-71365picklescan: scanner bypass enables undetected RCE via pickle
CVE-2025-71341Flowise: account takeover via unverified email change
CVE-2025-71337Gogs: Stored XSS via .ipynb Markdown re-render bypass
CVE-2026-52798Budibase: SSRF via DNS rebinding in automation steps
CVE-2026-54353vLLM: dependency confusion RCE backdoors container images
CVE-2026-54232Budibase: account hijack via chat identity CSRF
CVE-2026-50132picklescan: scanner bypass enables RCE via pickle
CVE-2025-71358picklescan: scanner bypass enables undetected pickle RCE
CVE-2025-71344picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71339Flowise: cross-workspace chatflow config disclosure
CVE-2026-56268Chainlit: session hijacking via WebSocket restoration
CVE-2026-56104picklescan: detection bypass enables RCE via pickle files
CVE-2025-71378picklescan: detection bypass enables RCE via malicious models
CVE-2025-71357picklescan: scanner bypass enables RCE via pickle files
CVE-2025-71351picklescan: scanner bypass enables supply chain RCE
CVE-2025-71348litellm: auth bypass in SSO debug exposes LLM proxy
CVE-2026-12795litellm: auth bypass in MCP proxy, no credentials required
CVE-2026-12773litellm: JWT auth bypass in M2M proxy handler
CVE-2026-12771Frequently 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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