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 127 results — Critical severity, has patchpraisonai-platform: member-to-owner privilege escalation
CVE-2026-47416 praisonai-platform: hardcoded JWT → full account takeover
CVE-2026-47410 praisonai-platform: IDOR enables cross-tenant agent hijack
CVE-2026-47407 PraisonAI: Unauth RCE via A2A eval injection
CVE-2026-47391 praisonaiagents: RCE via Python sandbox bypass
CVE-2026-47392 PraisonAI: auth bypass in deployed API exposes LLM + tools
CVE-2026-47393 PraisonAI: fail-open auth exposes remote agent control API
CVE-2026-47396 Shopper: RBAC bypass allows full admin takeover
CVE-2026-47744 langroid: Prompt-to-SQL injection enables RCE on DB host
CVE-2026-25879 Boxlite: read-only bypass enables host code execution
CVE-2026-46695 9router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339 n8n: SSRF bypasses credential domain restrictions
GHSA-3875-8gcx-7v46 GlassFish: authenticated RCE via admin console
CVE-2026-2586 MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611 deepseek-tui: prompt injection enables zero-approval RCE
CVE-2026-45311 n8n: SQL injection via poisoned Source Control git repo
CVE-2026-44792 n8n: XML node patch bypass enables host RCE
CVE-2026-44791 n8n: prototype pollution in HTTP node enables RCE
CVE-2026-44789 Flowise: auth RCE via NodeVM sandbox escape
GHSA-9rvc-vf7m-pgm2 openclaude: sandbox bypass allows host-level RCE
CVE-2026-42074 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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