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 1579 results — no patchFlowise: plaintext auth brute-force, no rate limit
CVE-2026-46440 onnx-mlir: weak hash enables model cache poisoning
CVE-2026-11329 OpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326 AVideo YPTSocket: Stored DOM XSS enables admin takeover
GHSA-8whc-2wmv-ww35 Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814 LMCache: weak hash enables KV cache integrity bypass
CVE-2026-10813 Streamlit: weak hash enables cache integrity bypass
CVE-2026-10804 MLflow: weak dataset hash allows integrity bypass
CVE-2026-10803 ms-swift: weak hash enables image cache poisoning
CVE-2026-10801 Gradio: weak hash exposes audio cache to local users
CVE-2026-10783 jupyter-server: CORS bypass enables arbitrary code execution
CVE-2026-6657 transformers: trust_remote_code bypass enables RCE via model load
CVE-2026-5241 MLflow: AI Gateway leaks cloud credentials via env injection
CVE-2026-4035 LibreChat: IDOR enables cross-user API key hijacking
CVE-2026-31942 Pterodactyl: DB limit bypass via broken locking mechanism
CVE-2026-35202 PS4 BD-J: sandbox escape via malformed JAR file
CVE-2025-64390 OpenMed: RCE via trust_remote_code model loading
CVE-2026-47117 jupyter-server: path traversal exposes sibling dir files
CVE-2026-5422 MLflow: auth bypass exposes gateway secrets and keys
CVE-2026-3198 hermes-agent: auth bypass exposes Anthropic API credentials
CVE-2026-10548 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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