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 1908 results — High severityTensorFlow: integer overflow in EditDistance causes DoS
CVE-2023-25662TensorFlow: null ptr deref in Print op allows remote DoS
CVE-2023-25660TensorFlow: OOB read in DynamicStitch enables DoS
CVE-2023-25659TensorFlow: OOB read in GRUBlockCellGrad causes DoS
CVE-2023-25658Grafana GeoMap: stored XSS enables Editor-to-Admin escalation
CVE-2023-0507Grafana: stored XSS in GeoMap SVG enables admin takeover
CVE-2022-23552TensorFlow: type confusion DoS via bool cast in tensors
CVE-2022-41911TensorFlow: 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: SdcaOptimizer DoS via malformed tensor rank
CVE-2022-41899TensorFlow: DoS crash via empty SparseFillEmptyRowsGrad inputs
CVE-2022-41898TensorFlow: OOB read in FractionMaxPoolGrad causes DoS
CVE-2022-41897TensorFlow: DoS via oversized filterbank_channel_count
CVE-2022-41896TensorFlow: heap OOB in MirrorPadGrad causes DoS
CVE-2022-41895TensorFlow Lite: buffer overflow in CONV_3D_TRANSPOSE op
CVE-2022-41894TensorFlow: DoS via TensorListResize malformed input
CVE-2022-41893TensorFlow: segfault DoS in TensorListConcat op
CVE-2022-41891TensorFlow: int32 overflow in BCast::ToShape causes DoS
CVE-2022-41890Frequently 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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