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 533 results — Critical severityInvokeAI: RCE via unsafe torch.load deserialization
CVE-2024-12029vLLM: RCE via pickle deserialization in distributed API
CVE-2024-9052pytorch-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-2025-25362B2B Login Panel: SQLi enables unauthenticated DB access
CVE-2024-13147JupyterHub LTI13: JWT forgery enables full auth bypass
CVE-2023-25574Mobuy Panel: SQLi allows unauthenticated DB takeover
CVE-2024-13152PandasAI: prompt injection enables unauthenticated RCE
CVE-2024-12366LlamaFactory: RCE via OS command injection in training
CVE-2024-52803Sage AI Plugin: unrestricted upload → web shell RCE
CVE-2024-52384Langflow: RCE via unsandboxed code component execution
CVE-2024-48061Langflow: Unauthenticated RCE via PythonCodeTool
CVE-2024-42835Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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