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 668 results — High severity, Active exploitationstable-diffusion.cpp: heap overflow via crafted .ckpt model
CVE-2026-47750 Langflow: IDOR exposes cross-user LLM data and deletion
CVE-2026-33760 NLTK: path traversal leaks arbitrary local files
CVE-2026-54293 ChromaDB: RCE via trust_remote_code in collection update
CVE-2026-45833 Budibase: SSRF in OAuth2 exposes cloud credentials
CVE-2026-48146 Keras: path traversal allows arbitrary file write
CVE-2026-11816 vLLM: unauthenticated OOM DoS via video frame parsing
CVE-2026-5497 Flowise: mass-assignment allows cross-workspace takeover
CVE-2026-46480 Flowise: mass assignment cross-workspace takeover
CVE-2026-46479 Flowise: mass-assignment allows cross-workspace data takeover
CVE-2026-46478 Flowise: mass-assignment cross-workspace dataset takeover
CVE-2026-46477 Flowise: mass assignment enables cross-workspace takeover
CVE-2026-46476 Flowise: mass-assignment enables workspace takeover
CVE-2026-46475 praisonai-platform: IDOR enables cross-workspace agent read/write/delete
CVE-2026-47419 Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814 Froxlor: DNS zone injection via unsanitized TXT record
CVE-2026-41234 jupyter-server: CORS bypass enables arbitrary code execution
CVE-2026-6657 MLflow: AI Gateway leaks cloud credentials via env injection
CVE-2026-4035 jupyter-server: path traversal exposes sibling dir files
CVE-2026-5422 F5-TTS: path traversal enables arbitrary file write
CVE-2026-43624 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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