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 1029 results — High severity CVE-2026-42862 Flowise: mass assignment breaks tenant isolation — 0.2% flowise May 14 HIGH E CVE-2026-42861 Flowise: mass assignment breaks multi-tenant isolation — 0.3% flowise May 14 HIGH E CVE-2026-45136 claude-code-cache-fix: hook path injection → RCE — 0.2% claude-code-cache-fix May 13 HIGH CVE-2026-45134 LangSmith: prompt deserialization enables SSRF + data leak 7.1 0.2% langchain May 13 HIGH E CVE-2026-44246 nnU-Net: prompt injection hijacks CI/CD triage agent 7.2 0.2% claude-code May 12 HIGH CVE-2026-31232 CosyVoice: RCE via unsafe torch.load() model deserialization 8.8 0.5% — May 12 HIGH CVE-2026-31224 snorkel: RCE via unsafe model deserialization 8.8 0.4% snorkel May 12 HIGH CVE-2026-31222 snorkel: RCE via insecure model checkpoint loading 8.8 0.4% snorkel May 12 HIGH CVE-2026-31221 pytorch-lightning: RCE via insecure checkpoint deserialization 7.8 0.4% pytorch-lightning May 12 HIGH E CVE-2026-2614 MLflow: path traversal allows unauthenticated file read 7.5 0.7% mlflow May 11 HIGH E CVE-2026-2393 MLflow: SSRF in webhook URL enables cloud credential theft 7.1 0.3% mlflow May 11 HIGH CVE-2026-31253 flash-attention: RCE via unsafe checkpoint deserialization 7.3 0.2% flash_attn May 11 HIGH E CVE-2026-44346 BentoML: Dockerfile injection enables build-time RCE 8.8 0.3% bentoml May 11 HIGH E CVE-2026-44345 BentoML: unsanitized base_image allows Dockerfile RCE 8.8 0.3% bentoml May 11 HIGH E CVE-2026-44570 open-webui: IDOR exposes cross-user AI memory data 8.3 0.3% open-webui May 11 HIGH E CVE-2026-44569 Open WebUI: IDOR enables cross-user message tampering 7.1 0.3% open-webui May 11 HIGH E CVE-2026-44565 open-webui: path traversal enables file write/delete 8.1 0.5% open-webui May 11 HIGH GHSA-6xcp-7mpr-m7wm open-webui: CORS misconfiguration enables 1-click RCE 8.3 — open-webui May 11 HIGH CVE-2026-44340 PraisonAI: tar symlink bypass allows arbitrary file write 7.5 0.4% PraisonAI May 11 HIGH E CVE-2026-44339 praisonaiagents: tool bypass enables undeclared callable exec 8.6 0.4% PraisonAI May 11 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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