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 4307 resultsExecuTorch: OOB read in model loader enables RCE
CVE-2025-54950ExecuTorch: heap buffer overflow RCE in model loading
CVE-2025-54951ExecuTorch: integer overflow RCE on model load
CVE-2025-30404ExecuTorch: integer overflow in model load → RCE
CVE-2025-30405Azure OpenAI: SSRF EoP, no auth required (CVSS 10)
CVE-2025-53767Ollama: arbitrary file deletion via /api/pull
CVE-2025-44779Transformers: ReDoS in TF-to-PyTorch weight converter
CVE-2025-5197CIRCL FourQ: low-order point flaw weakens key exchange
CVE-2025-8556ChatGLM-Webui: arbitrary file read, no auth required
CVE-2025-45150WP Contest Gallery: Stored XSS exposes OpenAI API creds
CVE-2025-7725ms-swift: RCE via pickle deserialization in adapter models
GHSA-r54c-2xmf-2cf3BentoML: unauthenticated SSRF via file upload URLs
CVE-2025-54381LangChain GmailToolkit: indirect prompt injection to RCE
CVE-2025-46059smolagents: sandbox escape enables unauthenticated RCE
CVE-2025-5120skops: RCE via MethodNode unsafe deserialization
CVE-2025-54413skops: OperatorFuncNode type confusion → RCE
CVE-2025-54412OpenAI Codex CLI: sandbox bypass via ripgrep flag abuse
CVE-2025-54558WordPress AI Engine: SSRF leaks files via OpenAI API
CVE-2025-7780Ollama: auth token hijack via crafted WWW-Authenticate
CVE-2025-51471Dagster: path traversal exposes arbitrary file read via gRPC
CVE-2025-51481Frequently 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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