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 1042 results — High severity, no patchVelociraptor: VQL injection via notebook backup restore
CVE-2026-19584 functype-mcp-server: RCE via unsanitized pnpm install
CVE-2026-59176 Chainlit: path traversal via sessionId wipes directories
CVE-2026-86099 SiYuan: stored XSS in notebook template paths
CVE-2026-87811 WPBot: unauth stored XSS in chatbot conversation field
CVE-2026-83593 InsydeH2O: BIOS memory corruption enables local RCE
CVE-2026-12855 InsydeH2O UEFI: BIOS Shell allows Secure Boot bypass
CVE-2026-6485 Craft CMS: authenticated RCE via Yii2 behavior injection
CVE-2026-86730 Pterodactyl Panel: subuser escalation to console RCE
CVE-2026-86177 Langflow: IDOR leaks and poisons workflow history
CVE-2026-17627 Langflow: chat attachment path traversal leaks server secrets
CVE-2026-19306 Langflow: SSRF flaw exposes internal/cloud metadata
CVE-2026-19305 Langflow: SSRF via URL parser bypass exposes internal services
CVE-2026-19304 Langflow: path traversal enables arbitrary file deletion
CVE-2026-19303 Langflow: leaky credential fields expose secrets
CVE-2026-19300 Langflow: auth bypass in flow build enables RCE
CVE-2026-19298 ms-swift: unauth SSRF via multimodal media URLs
CVE-2026-85686 LLaMA-Factory: SSRF guard bypass via redirect/DNS rebind
CVE-2026-85673 OGX/Llama Stack: SSRF via MCP tool server_url
CVE-2026-85666 Ollama: SSRF via unvalidated model-pull redirects
CVE-2026-85180 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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