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 648 results — Medium severity, no patchOpenClaw Android: command injection via WebView bridge
CVE-2026-15193 pyload-ng: IPv6 SSRF bypass evades internal-IP guard
CVE-2026-48737 Easy Invoice (WP): missing authz on quote accept/decline
CVE-2026-9021 OpenClaw: dotenv override leaks provider credentials
CVE-2026-59261 TrustyAI: missing auth exposes guardrails orchestrator
CVE-2026-15044 AVideo Meet: stored XSS via unescaped User-Agent
CVE-2026-60092 n8n: workflow:read scope triggers executions via API
CVE-2026-56778 n8n: viewer role bypasses RBAC on eval test runs
CVE-2026-56775 n8n: unsigned Zendesk webhook allows workflow forgery
CVE-2026-56360 n8n: XSS via malicious OAuth2 Authorization URL
CVE-2026-56359 Flowise: path traversal in vector store basePath
CVE-2026-56273 open-webui: blind SSRF via image-edit URL fetch
CVE-2026-34225 OpenAI Codex: prompt injection exfils data via images
CVE-2026-14898 OP-TEE: off-by-one in SHA-3 CE overflows TEE kernel heap
CVE-2026-40257 LangSmith SDK: arbitrary file read via TracingMiddleware
CVE-2026-59152 ONNX: OOB read in shape inference parsing untrusted models
CVE-2026-14647 PraisonAI: IDOR cross-tenant data pollution
CVE-2026-58653 Craft CMS: entry section permission bypass
CVE-2026-50280 Kibana: sensitive headers leaked via APM logs
CVE-2026-49088 n8n: AST validator bypass leaks env vars in Python node
CVE-2026-56777 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?
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