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
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Latest AI Security Threats
Showing 20 of 4307 resultsCVE-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 29MEDICVE-2025-46343n8n: stored XSS enables account takeover5.40.3%n8nApr 29CRITECVE-2025-45953PHPGurukul Hostel Mgmt: session hijacking → takeover9.10.4%—Apr 28CRITECVE-2025-45949PHPGurukul: session hijack via password change flow9.80.5%—Apr 28CRITGHSA-ggpf-24jw-3fcwvLLM: RCE via malicious model, PyTorch < 2.6 bypass9.8—vllmApr 23CRITECVE-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 16MEDIGHSA-hf3c-wxg2-49q9vLLM: DoS via unbounded XGrammar schema cache6.5—vllmApr 15CRITECVE-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 9MEDICVE-2025-32381xgrammar: unbounded grammar cache causes LLM server DoS6.50.5%xgrammarApr 9MEDIGHSA-v7x6-rv5q-mhwcpicklescan: bypass allows silent RCE in ML pipelines——picklescanApr 7MEDIGHSA-fj43-3qmq-673fpicklescan: numpy bypass enables RCE in ML model pipelines——picklescanApr 7HIGHECVE-2025-46417picklescan: scanner bypass enables DNS data exfiltration—0.2%picklescanApr 7CRITCVE-2025-3248Langflow: Unauth RCE via code injection endpoint9.8100.0%langflowApr 7CRITECVE-2025-27520BentoML: unauthenticated RCE via insecure deserialization9.840.6%bentomlApr 4HIGHECVE-2025-30370jupyterlab-git: command injection via malicious repo name7.40.6%jupyterlab-gitApr 4LOWECVE-2025-3136PyTorch: memory corruption in CUDA caching allocator3.30.3%pytorchApr 3MEDIECVE-2025-3121PyTorch: memory corruption in JIT flatbuffer loader5.50.3%pytorchApr 2Frequently 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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