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 1961 results — Active exploitationFlowise: 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-2026-46475Flowise: sandbox escape enables authenticated RCE
CVE-2026-46442Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-46441Flowise: plaintext auth brute-force, no rate limit
CVE-2026-46440praisonai-platform: IDOR enables cross-workspace agent read/write/delete
CVE-2026-47419mcp-server-kubernetes: flag injection steals K8s tokens
CVE-2026-47250OpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814LMCache: weak hash enables KV cache integrity bypass
CVE-2026-10813Streamlit: weak hash enables cache integrity bypass
CVE-2026-10804MLflow: weak dataset hash allows integrity bypass
CVE-2026-10803ms-swift: weak hash enables image cache poisoning
CVE-2026-10801Gradio: weak hash exposes audio cache to local users
CVE-2026-10783Enterprise Gateway: YAML injection → K8s cluster takeover
CVE-2026-44182Enterprise Gateway: SSTI allows full K8s cluster compromise
CVE-2026-44181Frequently 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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