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 108 results — Critical severity, has patchPraisonAI: RCE via shell injection in memory hooks executor
CVE-2026-40111 PraisonAI: RCE via shell injection in agent workflows
GHSA-2763-cj5r-c79m Marimo: pre-auth RCE via terminal WebSocket
GHSA-2679-6mx9-h9xc praisonaiagents: sandbox escape enables host RCE
CVE-2026-39888 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 LiteLLM: auth bypass via JWT cache key collision
CVE-2026-35030 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 MLflow: path traversal enables sandbox escape, file overwrite
CVE-2025-15036 n8n: stored XSS enables credential theft via workflow
CVE-2026-33749 n8n: member role steals plaintext HTTP credentials
CVE-2026-33663 TensorFlow: type confusion NPD in tensor conversion
CVE-2026-33660 langflow: Path Traversal enables file access
CVE-2026-33309 langflow: Code Injection enables RCE
CVE-2026-33017 mlflow: Path Traversal enables file access
CVE-2025-15031 mcp-atlassian: Path Traversal enables file access
CVE-2026-27825 picklescan: Allowlist Bypass evades input filtering
GHSA-g38g-8gr9-h9xp 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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