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 3019 resultsClaude Code: predictable temp file leaks data, symlink write
CVE-2026-46406 SiYuan: XSS→RCE via workspace sync in Electron app
CVE-2026-54158 Frappe Framework: Stored XSS in Notifications Events panel
CVE-2026-50709 Gemini CLI: OS command injection enables pre-sandbox RCE
CVE-2026-12537 n8n: stored XSS in Form Trigger enables form hijacking
CVE-2026-56358 n8n: SQL injection in DB nodes via identifier values
CVE-2026-56351 Flowise: weak bcrypt enables 30x faster password cracking
CVE-2026-56272 Flowise: auth bypass exposes OAuth secrets in cleartext
CVE-2026-56270 Flowise: hardcoded JWT secret leaks user/workspace IDs
CVE-2026-56269 picklescan: scanner bypass allows RCE via pickle load
CVE-2025-71361 picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71354 Flowise: SQL injection exposes AI credential store
CVE-2025-71332 Claude Desktop: VM integrity bypass enables RCE
CVE-2026-7574 Snipe-IT: auth bypass exposes S3 signature image URLs
CVE-2026-55542 @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 AVideo Meet: Stored XSS via User-Agent → admin takeover
GHSA-7cqp-7cfv-6c3q Gogs: XSS via data URI in ipynb sanitizer endpoint
CVE-2026-52816 Gogs LFS: cross-tenant object disclosure via dedupe bypass
CVE-2026-52812 picklescan: stdlib bypass enables arbitrary RCE
CVE-2026-56315 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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