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 983 results — Medium severity, no patchn8n: unsigned Zendesk webhook allows workflow forgery
CVE-2026-56360n8n: XSS via malicious OAuth2 Authorization URL
CVE-2026-56359Flowise: path traversal in vector store basePath
CVE-2026-56273open-webui: blind SSRF via image-edit URL fetch
CVE-2026-34225OpenAI Codex: prompt injection exfils data via images
CVE-2026-14898OP-TEE: off-by-one in SHA-3 CE overflows TEE kernel heap
CVE-2026-40257LangSmith SDK: arbitrary file read via TracingMiddleware
CVE-2026-59152ONNX: OOB read in shape inference parsing untrusted models
CVE-2026-14647PraisonAI: IDOR cross-tenant data pollution
CVE-2026-58653Craft CMS: entry section permission bypass
CVE-2026-50280Kibana: sensitive headers leaked via APM logs
CVE-2026-49088n8n: AST validator bypass leaks env vars in Python node
CVE-2026-56777Open WebUI: SSRF in web retrieval hits internal services
CVE-2026-56399n8n: stored XSS in Chat Trigger Custom CSS field
CVE-2026-56356n8n: authenticated users can disable SSO enforcement via API
CVE-2026-56350Langflow: SSRF via DNS rebinding in URL component
CVE-2026-10546Sigstore TSA: unbounded metrics label DoS
CVE-2026-49835GLib: D-Bus cookie path traversal leaks local files
CVE-2026-58015GLib: buffer over-read in line reader causes DoS
CVE-2026-58013GLib: g_regex_replace RAW over-read leaks bytes, DoS
CVE-2026-58012Frequently 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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