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 exploitationClaude Code CLI: shell injection enables RCE
CVE-2026-35021 Claude Code CLI: OS command injection via TERMINAL env
CVE-2026-35020 KubeAI: RCE via shell injection in Ollama startup probe
CVE-2026-34940 mobile-mcp: intent injection enables device control via AI agent
CVE-2026-35394 BentoML: malicious bento archive RCE via Jinja2 SSTI
CVE-2026-35044 BentoML: cmd injection RCE on cloud build infra
CVE-2026-35043 praisonaiagents: SSRF leaks cloud IAM credentials
CVE-2026-34954 PraisonAI: sandbox escape via shell=True blocklist bypass
CVE-2026-34955 PraisonAI: SSRF via api_base steals cloud IAM credentials
CVE-2026-34936 PraisonAI: OS command injection via run_python() shell escape
CVE-2026-34937 Open WebUI: access control bypass leaks Tool Valve API keys
CVE-2026-34222 awesome-llm-apps MCP Agent: cross-session credential theft
CVE-2026-29872 langchain-core: path traversal exposes host secrets via prompt config
CVE-2026-34070 @mobilenext/mobile-mcp: path traversal via AI agent tool
CVE-2026-33989 MLflow: broken access control exposes experiment traces
CVE-2025-15381 Open WebUI: BOLA enables RAG poisoning via file overwrite
CVE-2026-28788 BentoML: command injection in bentofile.yaml containerize
CVE-2026-33744 langflow: Path Traversal enables file access
CVE-2026-33497 langflow: Access Control bypass enables privilege escalation
CVE-2026-33484 AI component: Input Validation flaw enables exploitation
CVE-2026-4538 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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