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 3021 resultsstable-diffusion.cpp: OOB read crash via crafted .ckpt file
CVE-2026-47748 n8n: prototype pollution leaks cross-user workflow data
CVE-2026-54311 n8n: webhook prototype pollution enables confused deputy
CVE-2026-54306 n8n: XSS via CSP bypass steals user sessions
CVE-2026-54301 n8n: unauthed webhook bypass hijacks AI agent workflows
CVE-2026-54308 n8n: auth bypass lets read-only users execute workflows
GHSA-hv7x-3x78-gx53 n8n: MongoDB query injection overwrites arbitrary documents
CVE-2026-54313 stable-diffusion.cpp: .ckpt heap overflow enables RCE
CVE-2026-47747 stable-diffusion.cpp: heap overflow via crafted .ckpt model
CVE-2026-47750 n8n: SQL injection in Postgres nodes, CVSS 9.9
CVE-2026-54310 n8n: Git node path traversal bypasses file sandbox
CVE-2026-49465 n8n: Python sandbox escape enables container RCE
CVE-2026-49444 vllm: auth bypass exposes OpenAI inference API
CVE-2026-48746 Langflow: unauth file read via Shareable Playground
CVE-2026-48520 Langflow: unauthenticated RCE via Shareable Playground
CVE-2026-48519 Langflow: path traversal enables arbitrary file write
CVE-2026-42867 vLLM: assert bypass → RCE via poisoned HuggingFace model
CVE-2026-41523 Langflow: IDOR exposes cross-user LLM data and deletion
CVE-2026-33760 LangChain: path traversal exposes files outside sandbox
GHSA-gr75-jv2w-4656 NLTK: path traversal leaks arbitrary local files
CVE-2026-54293 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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