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 185 results — Critical severity, Active exploitationllama-index DuckDB retriever: SQLi enables RCE
CVE-2024-11958 BentoML: unauthenticated RCE via runner deserialization
CVE-2024-9070 vllm: RCE via unsafe pickle deserialization in RPC server
CVE-2024-9053 vllm: RCE via unsafe pickle deserialization in MessageQueue
CVE-2024-11041 vLLM: RCE via unsafe deserialization in Mooncake KV
CVE-2025-29783 Keras: safe_mode bypass enables RCE via model loading
CVE-2025-1550 picklescan: ZIP flag bypass enables RCE in PyTorch models
CVE-2025-1945 spacy-llm: SSTI allows unauthenticated RCE (CVSS 9.8)
CVE-2025-25362 LlamaFactory: RCE via OS command injection in training
CVE-2024-52803 Langflow: RCE via unsandboxed code component execution
CVE-2024-48061 Langflow: Unauthenticated RCE via PythonCodeTool
CVE-2024-42835 PyTorch: RCE via RemoteModule deserialization
CVE-2024-48063 LangChain GraphCypher: prompt injection enables DB wipe
CVE-2024-8309 LangChain.js: path traversal, arbitrary file read/write
CVE-2024-7774 LangChainJS: prompt injection enables full graph DB takeover
CVE-2024-7042 Affiliator WP Plugin: Unauthenticated Web Shell Upload
CVE-2024-49326 LangChain-Experimental: RCE via eval in math chain
CVE-2024-46946 streamlit-geospatial: blind SSRF via unvalidated URL input
CVE-2024-41120 streamlit-geospatial: RCE via eval() on vis_params input
CVE-2024-41119 streamlit-geospatial: blind SSRF via WMS URL input
CVE-2024-41118 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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