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 4330 resultsFlowise: path traversal → RCE via missing UUID validation
CVE-2025-71334Flowise: unauth file upload + path traversal enables RCE
CVE-2025-71333Flowise: unverified password change enables account takeover
CVE-2025-71328Flowise: auth bypass grants full API access
CVE-2025-71327Flowise: path traversal leaks database unauthenticated
CVE-2025-71324qrscp: DICOM path traversal enables arbitrary file write
CVE-2026-56445wolfSSL: TLS session resumption skips SNI/ALPN check
CVE-2026-11703SiXG301 SYMCRYPTO: DPA bypass weakens hardware crypto keys
CVE-2026-4930LibreChat: SSRF via custom API baseURL exposes internal network
CVE-2026-54033Claude Code: predictable temp file leaks data, symlink write
CVE-2026-464063X-UI: authenticated file write leads to RCE
CVE-2026-55477SiYuan: XSS→RCE via workspace sync in Electron app
CVE-2026-54158Frappe Framework: Stored XSS in Notifications Events panel
CVE-2026-50709Gemini CLI: OS command injection enables pre-sandbox RCE
CVE-2026-12537n8n: stored XSS in Form Trigger enables form hijacking
CVE-2026-56358n8n: SQL injection in DB nodes via identifier values
CVE-2026-56351Flowise: weak bcrypt enables 30x faster password cracking
CVE-2026-56272Flowise: auth bypass exposes OAuth secrets in cleartext
CVE-2026-56270Flowise: hardcoded JWT secret leaks user/workspace IDs
CVE-2026-56269picklescan: scanner bypass allows RCE via pickle load
CVE-2025-71361Frequently 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.
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