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 509 results — High severity, Active exploitationFlowise: unauthenticated API key exposure via chatbot config
CVE-2026-41266 Flowise: RCE via unsanitized input in AirtableAgent
CVE-2026-41138 Flowise: RCE via CSVAgent unsanitized code injection
CVE-2026-41137 Langflow: unauthenticated file upload allows RCE
CVE-2026-6596 Keras: safe_mode bypass allows RCE via model deserialization
CVE-2026-1462 PraisonAI: unauthenticated SSRF via unvalidated webhook_url
CVE-2026-40114 praisonaiagents: SSRF in web_crawl exposes cloud metadata
CVE-2026-40160 PraisonAI: auto tools.py load enables local RCE
CVE-2026-40156 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 LiteLLM: RCE via bytecode rewriting in guardrails API
CVE-2026-40217 PraisonAIAgents: SSRF exposes cloud metadata via web_crawl
CVE-2026-40150 PraisonAI: unauth WebSocket drains OpenAI API credits
CVE-2026-40116 PraisonAI: arg injection injects env vars into Cloud Run
CVE-2026-40113 praisonai: SSTI enables RCE via agent instructions
CVE-2026-39891 text-generation-webui: unauthenticated path traversal file read
CVE-2026-35485 PraisonAI: recipe registry path traversal file write
CVE-2026-39308 PraisonAI: recipe path traversal allows arbitrary file write
CVE-2026-39306 PraisonAI: Zip Slip enables arbitrary file write / RCE
CVE-2026-39307 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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