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 372 results — Active exploitation, has patchOpen WebUI: unauth Socket.IO bypass alters doc state
CVE-2026-59715 Open WebUI: ReDoS in skill mentions blocks event loop
CVE-2026-59220 Open WebUI: image-edit API bypasses admin permission gate
CVE-2026-59227 Serena: unauth dashboard API enables RCE via memory poisoning
CVE-2026-49471 onnx: crafted model triggers SIGSEGV in version_converter
CVE-2026-44512 Langroid: unvalidated LLM Cypher enables graph RCE
CVE-2026-55615 vLLM: crafted spec-decoding request crashes GPU worker (DoS)
CVE-2026-54234 Coder: CORS bypass via workspace subdomain proxy
CVE-2026-55438 Langroid: auth bypass invokes disabled tools via raw JSON
CVE-2026-54771 Langroid: prompt injection to RCE via broken eval() sandbox
CVE-2026-54769 Langroid: SQLChatAgent regex bypass exposes pg_read_file
CVE-2026-54760 vLLM: audio upload OOMs process before size check
CVE-2026-55646 Keras: safe_mode=None bypass enables Lambda RCE
CVE-2026-12481 Langroid: path traversal escapes sandboxed file tools
CVE-2026-50181 Ray: RCE via pickle/torch deserialization in WebDataset
CVE-2026-57516 Keras: incomplete fix reopens HDF5 arbitrary file read
CVE-2026-12480 SiYuan: XSS→RCE via workspace sync in Electron app
CVE-2026-54158 Gogs: XSS via data URI in ipynb sanitizer endpoint
CVE-2026-52816 Gogs LFS: cross-tenant object disclosure via dedupe bypass
CVE-2026-52812 Gogs: Stored XSS via .ipynb Markdown re-render bypass
CVE-2026-52798 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?
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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