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 325 results — Critical severity, Active exploitationvLLM: RCE via pickle deserialization on ZeroMQ
CVE-2025-32444PHPGurukul: session hijack via password change flow
CVE-2025-45949PHPGurukul Hostel Mgmt: session hijacking → takeover
CVE-2025-45953PyTorch: RCE bypasses weights_only=True safe-load guard
CVE-2025-32434jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428BentoML: RCE via insecure deserialization in runner
CVE-2025-32375Langflow: Unauth RCE via code injection endpoint
CVE-2025-3248BentoML: unauthenticated RCE via insecure deserialization
CVE-2025-27520InvokeAI: RCE via unsafe torch.load deserialization
CVE-2024-12029pytorch-lightning: file upload RCE (Windows)
CVE-2024-8019llama-index finchat: SQL injection enables RCE
CVE-2024-12909llama-index DuckDB retriever: SQLi enables RCE
CVE-2024-11958BentoML: unauthenticated RCE via runner deserialization
CVE-2024-9070vllm: RCE via unsafe pickle deserialization in RPC server
CVE-2024-9053vllm: RCE via unsafe pickle deserialization in MessageQueue
CVE-2024-11041vLLM: RCE via unsafe deserialization in Mooncake KV
CVE-2025-29783Keras: safe_mode bypass enables RCE via model loading
CVE-2025-1550picklescan: ZIP flag bypass enables RCE in PyTorch models
CVE-2025-1945spacy-llm: SSTI allows unauthenticated RCE (CVSS 9.8)
CVE-2025-25362LlamaFactory: RCE via OS command injection in training
CVE-2024-52803Frequently 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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