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 4331 resultspicklescan: scanner bypass allows RCE via pickle load
CVE-2025-71361picklescan: scanner bypass enables arbitrary code execution
CVE-2025-71354Flowise: SQL injection exposes AI credential store
CVE-2025-71332Claude Desktop: VM integrity bypass enables RCE
CVE-2026-7574Snipe-IT: auth bypass exposes S3 signature image URLs
CVE-2026-55542@rtk-ai/rtk-rewrite: RCE via shell injection in exec tool
CVE-2026-55249Daytona: email bypass grants unauthorized org Owner access
CVE-2026-54320AVideo Meet: Stored XSS via User-Agent → admin takeover
GHSA-7cqp-7cfv-6c3qGogs: XSS via data URI in ipynb sanitizer endpoint
CVE-2026-52816Gogs LFS: cross-tenant object disclosure via dedupe bypass
CVE-2026-52812picklescan: stdlib bypass enables arbitrary RCE
CVE-2026-56315picklescan: scanner bypass enables undetected RCE
CVE-2025-71376picklescan: 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: SSRF bypasses security check in Execute Flow
CVE-2026-56275Flowise: RCE via MCP server command validation bypass
CVE-2026-56274Flowise: account takeover via unverified email change
CVE-2025-71337Gogs: Stored XSS via .ipynb Markdown re-render bypass
CVE-2026-52798Zephyr RTOS: ext2 OOB read/DoS via malformed filesystem
CVE-2026-10645Frequently 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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