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 481 results — Critical severityXinference: eval() on LLM output enables RCE
CVE-2026-61539 Headroom LLM proxy: IDOR exposes cross-user memory
CVE-2026-77776 Qinglong panel: unauth admin credential reset bypass
CVE-2026-55445 LMDeploy: RCE via unauth pickle deserialization
CVE-2026-76850 Froxlor: API leaks password hashes & TOTP seeds
CVE-2026-62988 CodeWhale: git_show argument injection enables file write
CVE-2026-75913 MLflow: unauth SSRF via webhook hits cloud metadata
CVE-2026-64849 SiYuan: SQL injection enables cross-notebook DB access
CVE-2026-72811 Langflow: sin límite de intentos permite account takeover
CVE-2026-19297 Flowise: RCE via Custom MCP node env var injection
CVE-2026-73601 Flowise: Python sandbox bypass enables unauth RCE
CVE-2026-73487 Flowise: RCE via Airtable Agent pyodide sandbox bypass
CVE-2026-73485 Flowise: sandbox escape via puppeteer.launch() to RCE
CVE-2026-73483 n8n: expression sandbox escape leads to RCE
CVE-2026-72765 Feast: insecure UDF deserialization enables RCE
CVE-2026-18948 crypto-js: weak PRNG enables wallet key recovery
CVE-2026-71851 Flowise: IDOR in Assistants API leaks OpenAI credentials
CVE-2026-67622 Langflow: weak Fernet key derivation exposes secrets
CVE-2026-9205 Langflow: weak PRNG lets attackers decrypt stored secrets
CVE-2026-8470 PraisonAI: shell injection in Claude Action enables RCE
CVE-2026-48168 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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