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 41 results — Critical severity, Active exploitation, has patchlangroid: Prompt-to-SQL injection enables RCE on DB host
CVE-2026-25879 Boxlite: read-only bypass enables host code execution
CVE-2026-46695 MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611 deepseek-tui: prompt injection enables zero-approval RCE
CVE-2026-45311 openclaude: sandbox bypass allows host-level RCE
CVE-2026-42074 PraisonAI: MCP path traversal escalates to full RCE
CVE-2026-44336 vm2: sandbox escape via nesting:true enables RCE
CVE-2026-44007 Langflow: path traversal allows arbitrary directory deletion
CVE-2026-42048 Flowise: prompt injection → unsandboxed RCE via CSV Agent
CVE-2026-41264 Flowise: RCE via MCP stdio command injection
CVE-2026-40933 PraisonAI: path traversal allows arbitrary file write via recipe unpack
CVE-2026-40157 PraisonAI: supply chain RCE via unverified template exec
CVE-2026-40154 lollms: Stored XSS enables wormable account takeover
CVE-2026-1115 PraisonAI: RCE via shell injection in memory hooks executor
CVE-2026-40111 PraisonAI: YAML deserialization enables unauthenticated RCE
CVE-2026-39890 PraisonAI: path traversal exposes full filesystem via agent tools
CVE-2026-35615 PraisonAI: path traversal enables arbitrary file write/RCE
CVE-2026-39305 praisonaiagents: sandbox bypass enables full host RCE
CVE-2026-34938 MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596 MLflow: RCE via unsanitized model dependency specs
CVE-2025-15379 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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