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 1074 results — Active exploitationllama-index-cli: OS command injection enables RCE
CVE-2025-1753 vLLM: RCE via exposed TCPStore in distributed inference
CVE-2025-47277 transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099 Ollama: DoS via malicious manifest in /api/pull
CVE-2025-1975 Label Studio: XSS enables unauthorized actions via CSRF
CVE-2025-47783 llama_index: DoS via uncapped recursion in web reader
CVE-2025-1752 PyTorch NCCL: local DoS in distributed training reduce op
CVE-2025-4287 browser-use: URL allowlist bypass enables SSRF in agents
CVE-2025-47241 LLaMA-Factory: RCE via torch.load() unsafe deserialization
CVE-2025-46567 vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560 vLLM: RCE via pickle deserialization on ZeroMQ
CVE-2025-32444 vLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202 transformers: ReDoS in GPT-NeoX Japanese tokenizer
CVE-2025-1194 PyTorch: RCE bypasses weights_only=True safe-load guard
CVE-2025-32434 PyTorch: DoS via ctc_loss resource mishandling
CVE-2025-3730 jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428 BentoML: RCE via insecure deserialization in runner
CVE-2025-32375 picklescan: scanner bypass enables DNS data exfiltration
CVE-2025-46417 Langflow: Unauth RCE via code injection endpoint
CVE-2025-3248 BentoML: unauthenticated RCE via insecure deserialization
CVE-2025-27520 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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