AI Threat AlertAI 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
Critical
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In CISA KEV
Latest AI Security Threats
Showing 20 of 1961 results — Active exploitationCVE-2025-47277vLLM: RCE via exposed TCPStore in distributed inference9.81.0%vllmMay 20HIGHECVE-2025-2099transformers: ReDoS in testing_utils causes DoS7.50.6%transformersMay 19UNKNECVE-2025-1975Ollama: DoS via malicious manifest in /api/pull—0.5%ollamaMay 16HIGHECVE-2025-47783Label Studio: XSS enables unauthorized actions via CSRF—0.6%label-studioMay 15HIGHECVE-2025-1752llama_index: DoS via uncapped recursion in web reader7.50.5%llama-indexMay 10LOWECVE-2025-4287PyTorch NCCL: local DoS in distributed training reduce op3.30.2%—May 5CRITECVE-2025-47241browser-use: URL allowlist bypass enables SSRF in agents9.30.5%browser-useMay 5HIGHECVE-2025-46567LLaMA-Factory: RCE via torch.load() unsafe deserialization7.80.3%llamafactoryMay 1HIGHECVE-2025-46560vLLM: DoS via quadratic multimodal tokenizer input7.50.5%vllmApr 30CRITECVE-2025-32444vLLM: RCE via pickle deserialization on ZeroMQ9.81.8%vllmApr 30HIGHECVE-2025-30202vLLM: ZeroMQ socket exposure enables DoS in multi-node7.50.6%vllmApr 30MEDIECVE-2025-1194transformers: ReDoS in GPT-NeoX Japanese tokenizer6.50.5%transformersApr 29CRITECVE-2025-45949PHPGurukul: session hijack via password change flow9.80.5%—Apr 28CRITECVE-2025-45953PHPGurukul Hostel Mgmt: session hijacking → takeover9.10.4%—Apr 28CRITECVE-2025-32434PyTorch: RCE bypasses weights_only=True safe-load guard9.82.4%pytorchApr 18MEDIECVE-2025-3730PyTorch: DoS via ctc_loss resource mishandling5.50.3%pytorchApr 16CRITECVE-2025-32428jupyter-remote-desktop-proxy: VNC network exposure—0.9%jupyter-remote-desktop-proxyApr 12CRITECVE-2025-32375BentoML: RCE via insecure deserialization in runner9.852.4%bentomlApr 9HIGHECVE-2025-46417picklescan: scanner bypass enables DNS data exfiltration—0.2%picklescanApr 7CRITCVE-2025-3248Langflow: Unauth RCE via code injection endpoint9.8100.0%langflowApr 7Frequently 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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