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 1551 results — no patchTensorFlow: heap overflow in AvgPoolGrad, RCE risk
CVE-2023-25664 TensorFlow: null ptr deref crashes inference serving
CVE-2023-25663 TensorFlow: integer overflow in EditDistance causes DoS
CVE-2023-25662 TensorFlow: null ptr deref in Print op allows remote DoS
CVE-2023-25660 TensorFlow: OOB read in DynamicStitch enables DoS
CVE-2023-25659 TensorFlow: OOB read in GRUBlockCellGrad causes DoS
CVE-2023-25658 MLflow: path traversal allows arbitrary file read/write
CVE-2023-1177 MLflow: path traversal exposes arbitrary local files
CVE-2023-1176 Streamlit: reflected XSS enables session hijacking
CVE-2023-27494 Gradio: hardcoded SSH key leaks via share=True demos
CVE-2023-25823 TensorFlow Grappler: OOB read crashes or leaks memory
CVE-2022-41910 TensorFlow Grappler: OOB read/crash via crafted model
CVE-2022-41902 PyTorch: RCE via unsafe eval in JIT annotations
CVE-2022-45907 TensorFlow: type confusion DoS via bool cast in tensors
CVE-2022-41911 TensorFlow: remote DoS via malformed tensor input
CVE-2022-41909 TensorFlow: DoS via invalid UTF-8 input to PyFunc op
CVE-2022-41908 TensorFlow: integer overflow in ResizeNearestNeighborGrad → DoS
CVE-2022-41907 TensorFlow: DoS via SparseMatrixNNZ CHECK assertion fail
CVE-2022-41901 TensorFlow: heap OOB RCE in FractionalMaxPool op
CVE-2022-41900 TensorFlow: SdcaOptimizer DoS via malformed tensor rank
CVE-2022-41899 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.
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