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 1321 results — High severityFlowise: path traversal leaks database unauthenticated
CVE-2025-71324 n8n: SQL injection in DB nodes via identifier values
CVE-2026-56351 Flowise: auth bypass exposes OAuth secrets in cleartext
CVE-2026-56270 picklescan: scanner bypass allows RCE via pickle load
CVE-2025-71361 picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71354 Claude Desktop: VM integrity bypass enables RCE
CVE-2026-7574 @rtk-ai/rtk-rewrite: RCE via shell injection in exec tool
CVE-2026-55249 Daytona: email bypass grants unauthorized org Owner access
CVE-2026-54320 Gogs LFS: cross-tenant object disclosure via dedupe bypass
CVE-2026-52812 picklescan: scanner bypass enables undetected RCE
CVE-2025-71376 picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71370 picklescan: detection bypass enables RCE via numpy.f2py
CVE-2025-71365 picklescan: scanner bypass enables undetected RCE via pickle
CVE-2025-71341 Flowise: account takeover via unverified email change
CVE-2025-71337 Gogs: Stored XSS via .ipynb Markdown re-render bypass
CVE-2026-52798 Budibase: SSRF via DNS rebinding in automation steps
CVE-2026-54353 vLLM: dependency confusion RCE backdoors container images
CVE-2026-54232 Budibase: account hijack via chat identity CSRF
CVE-2026-50132 picklescan: scanner bypass enables RCE via pickle
CVE-2025-71358 picklescan: scanner bypass enables undetected pickle RCE
CVE-2025-71344 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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