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 472 results — Medium severity, Active exploitationopen-webui: blind SSRF via image-edit URL fetch
CVE-2026-34225 onnx: crafted model triggers SIGSEGV in version_converter
CVE-2026-44512 Coder: CORS bypass via workspace subdomain proxy
CVE-2026-55438 vLLM: audio upload OOMs process before size check
CVE-2026-55646 ONNX: OOB read in shape inference parsing untrusted models
CVE-2026-14647 PraisonAI: IDOR cross-tenant data pollution
CVE-2026-58653 Keras: incomplete fix reopens HDF5 arbitrary file read
CVE-2026-12480 Open WebUI: SSRF in web retrieval hits internal services
CVE-2026-56399 Pinpoint: insecure JWT cookie enables session hijacking
CVE-2026-57948 Edimax router: OS command injection via web form
CVE-2026-13581 Edimax EW-7478APC: unauth OS command injection
CVE-2026-13561 Flowise: NODE_OPTIONS denylist bypass allows RCE
CVE-2026-58057 Mattermost: OpenAI API key leaks into logs on auth errors
CVE-2026-9699 wolfSSL: TLS session resumption skips SNI/ALPN check
CVE-2026-11703 LibreChat: SSRF via custom API baseURL exposes internal network
CVE-2026-54033 Flowise: SQL injection exposes AI credential store
CVE-2025-71332 Gogs: XSS via data URI in ipynb sanitizer endpoint
CVE-2026-52816 Keras: path traversal via layer names allows arbitrary file write
CVE-2026-12479 Langflow: code injection via Bundle URL Loader (PoC)
CVE-2026-12822 Flowise: path traversal in S3 loader exposes documents
CVE-2026-12821 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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