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 1961 results — Active exploitationMLflow: path traversal allows unauthenticated file read
CVE-2023-2356LangChain: RCE via prompt injection in LLMMathChain
CVE-2023-29374TensorFlow: DoS via malformed Convolution3D input
CVE-2023-25661TensorFlow: double-free in pooling ops enables RCE
CVE-2023-25801TensorFlow: null pointer DoS in RandomShuffle (XLA)
CVE-2023-25674TensorFlow: unauthenticated RCE via heap buffer overflow
CVE-2023-25668TensorFlow: integer overflow DoS in video frame decoding
CVE-2023-25667TensorFlow: null ptr deref DoS via sparse tensors
CVE-2023-25665TensorFlow: heap overflow in AvgPoolGrad, RCE risk
CVE-2023-25664MLflow: path traversal allows arbitrary file read/write
CVE-2023-1177MLflow: path traversal exposes arbitrary local files
CVE-2023-1176Gradio: hardcoded SSH key leaks via share=True demos
CVE-2023-25823TensorFlow Grappler: OOB read/crash via crafted model
CVE-2022-41902PyTorch: RCE via unsafe eval in JIT annotations
CVE-2022-45907Netgear R7000P: buffer overflow via DNS params
CVE-2022-44194TensorFlow: remote DoS via malformed tensor input
CVE-2022-41909TensorFlow: DoS via invalid UTF-8 input to PyFunc op
CVE-2022-41908TensorFlow: integer overflow in ResizeNearestNeighborGrad → DoS
CVE-2022-41907TensorFlow: DoS via SparseMatrixNNZ CHECK assertion fail
CVE-2022-41901TensorFlow: heap OOB RCE in FractionalMaxPool op
CVE-2022-41900Frequently 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.
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