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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Showing 20 of 943 results — High severity, Active exploitationstable-diffusion.cpp: heap overflow in .ckpt model parser
CVE-2026-47749stable-diffusion.cpp: .ckpt heap overflow enables RCE
CVE-2026-47747stable-diffusion.cpp: heap overflow via crafted .ckpt model
CVE-2026-47750Langflow: IDOR exposes cross-user LLM data and deletion
CVE-2026-33760NLTK: path traversal leaks arbitrary local files
CVE-2026-54293ChromaDB: RCE via trust_remote_code in collection update
CVE-2026-45833Budibase: SSRF in OAuth2 exposes cloud credentials
CVE-2026-48146Keras: path traversal allows arbitrary file write
CVE-2026-11816vLLM: unauthenticated OOM DoS via video frame parsing
CVE-2026-5497Flowise: mass-assignment allows cross-workspace takeover
CVE-2026-46480Flowise: mass assignment cross-workspace takeover
CVE-2026-46479Flowise: mass-assignment allows cross-workspace data takeover
CVE-2026-46478Flowise: mass-assignment cross-workspace dataset takeover
CVE-2026-46477Flowise: mass assignment enables cross-workspace takeover
CVE-2026-46476Flowise: mass-assignment enables workspace takeover
CVE-2026-46475praisonai-platform: IDOR enables cross-workspace agent read/write/delete
CVE-2026-47419Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814Froxlor: DNS zone injection via unsanitized TXT record
CVE-2026-41234jupyter-server: CORS bypass enables arbitrary code execution
CVE-2026-6657MLflow: AI Gateway leaks cloud credentials via env injection
CVE-2026-4035Frequently 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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