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 1069 results — Active exploitationPraisonAI: path traversal exposes full filesystem via agent tools
CVE-2026-35615 PraisonAI: recipe registry path traversal file write
CVE-2026-39308 PraisonAI: recipe path traversal allows arbitrary file write
CVE-2026-39306 PraisonAI: path traversal enables arbitrary file write/RCE
CVE-2026-39305 PraisonAI: Zip Slip enables arbitrary file write / RCE
CVE-2026-39307 Claude Code: OS command injection, credential theft
CVE-2026-35022 Claude 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 Budibase: Unauthenticated RCE as root via webhook
CVE-2026-35216 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 LiteLLM: auth bypass allows RCE and full takeover
CVE-2026-35029 MLflow: auth bypass in job API enables unauthenticated RCE
CVE-2026-0545 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 praisonaiagents: sandbox bypass enables full host RCE
CVE-2026-34938 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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