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 1431 results — has patchShopper: auth bypass enables full checkout shutdown
CVE-2026-47745Shopper: RBAC bypass allows full admin takeover
CVE-2026-47744Shopper: authz bypass lets any user mutate product data
CVE-2026-47742CAPM3: cross-namespace auth bypass exposes K8s secrets
GHSA-rf84-wr5g-m3rpFroxlor: symlink-following grants customer root SSH access
CVE-2026-41236Froxlor: shell whitelist bypass grants host shell access
CVE-2026-41235local-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526langroid: Prompt-to-SQL injection enables RCE on DB host
CVE-2026-25879Kirby CMS: Stored XSS via javascript: URI scheme bypass
CVE-2026-45368Kirby CMS: auth bypass leaks admin emails via content lock
CVE-2026-45334Gradio: cookie injection hijacks cross-Space sessions
CVE-2026-48545Kirby CMS: auth bypass exposes restricted page drafts
CVE-2026-44176Kirby CMS: stored XSS in list field enables session hijack
CVE-2026-44175Kirby: unsafe reflection allows privilege escalation
CVE-2026-44174Spring AI: path traversal via LLM-chosen filenames
CVE-2026-41863transformers: config.json RCE bypasses trust_remote_code
CVE-2026-4372Boxlite: read-only bypass enables host code execution
CVE-2026-46695Twig: single-quote escape flaw in {% use %} allows RCE
CVE-2026-46633LiteLLM: privilege escalation to proxy_admin via /user/update
CVE-2026-47102LiteLLM: RBAC bypass enables proxy admin escalation
CVE-2026-47101Frequently 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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