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 1028 results — High severityFlowise: SSRF bypass exposes cloud IAM credentials
GHSA-xhmj-rg95-44hv Flowise: MIME bypass enables persistent Node.js web shell RCE
GHSA-rh7v-6w34-w2rr Flowise: unauthenticated RCE via FILE-STORAGE bypass
GHSA-cvrr-qhgw-2mm6 Flowise: unauth API exposes plaintext API keys and tokens
GHSA-4jpm-cgx2-8h37 Flowise: Mass Assignment allows cross-tenant org takeover
GHSA-48m6-ch88-55mj Flowise: prompt injection RCE via AirtableAgent
GHSA-f228-chmx-v6j6 LangChain-ChatChat: RCE via unauthenticated MCP interface
CVE-2026-30617 mcp-ssh: argument injection enables LLM-driven local RCE
GHSA-p4h8-56qp-hpgv Keras: safe_mode bypass allows RCE via model deserialization
CVE-2026-1462 n8n-mcp: unauthenticated HTTP endpoints enable DoS + recon
GHSA-75hx-xj24-mqrw PraisonAI: untrusted tools.py import enables RCE
GHSA-g985-wjh9-qxxc PraisonAI: unauthenticated SSRF via unvalidated webhook_url
CVE-2026-40114 praisonaiagents: SSRF in web_crawl exposes cloud metadata
CVE-2026-40160 praisonaiagents: CORS bypass enables silent agent RCE
GHSA-x462-jjpc-q4q4 PraisonAI: auto tools.py load enables local RCE
CVE-2026-40156 PraisonAI: hardcoded approval bypass enables RCE
GHSA-qwgj-rrpj-75xm PraisonAI: AST sandbox bypass enables host RCE
CVE-2026-40158 praisonaiagents: env var expansion exposes production secrets
CVE-2026-40153 PraisonAI: auth bypass disables agent safety controls
CVE-2026-40149 OpenClaw: privilege escalation via plugin scope bypass
CVE-2026-35669 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.
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