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 509 results — High severity, Active exploitationTensorFlow: null ptr deref DoS via sparse tensors
CVE-2023-25665 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: SdcaOptimizer DoS via malformed tensor rank
CVE-2022-41899 TensorFlow: DoS crash via empty SparseFillEmptyRowsGrad inputs
CVE-2022-41898 TensorFlow: OOB read in FractionMaxPoolGrad causes DoS
CVE-2022-41897 TensorFlow: DoS via oversized filterbank_channel_count
CVE-2022-41896 TensorFlow: heap OOB in MirrorPadGrad causes DoS
CVE-2022-41895 TensorFlow Lite: buffer overflow in CONV_3D_TRANSPOSE op
CVE-2022-41894 TensorFlow: DoS via TensorListResize malformed input
CVE-2022-41893 TensorFlow: segfault DoS in TensorListConcat op
CVE-2022-41891 TensorFlow: int32 overflow in BCast::ToShape causes DoS
CVE-2022-41890 TensorFlow: NULL ptr deref DoS via quantized tensor input
CVE-2022-41889 TensorFlow: GPU input validation DoS in bbox proposals
CVE-2022-41888 TensorFlow: int32 overflow crashes Poisson loss function
CVE-2022-41887 TensorFlow: integer overflow in image op causes DoS
CVE-2022-41886 TensorFlow: FusedResizeAndPadConv2D overflow causes DoS
CVE-2022-41885 TensorFlow: DoS via malformed numpy array shape
CVE-2022-41884 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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