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 1069 results — Active exploitationTensorFlow: DoS via AvgPoolGrad shape validation failure
CVE-2022-35968 TensorFlow: DoS via QuantizedAdd tensor rank flaw
CVE-2022-35967 TensorFlow: DoS via QuantizedAvgPool input validation
CVE-2022-35966 TensorFlow: NULL deref DoS via empty tensor input
CVE-2022-35965 TensorFlow: remote DoS via BlockLSTMGradV2 validation
CVE-2022-35964 TensorFlow: DoS via FractionalAvgPoolGrad overflow
CVE-2022-35963 TensorFlow: DoS via malformed TensorListReserve input
CVE-2022-35960 TensorFlow: DoS via AvgPool3DGradOp input overflow
CVE-2022-35959 TensorFlow: DoS via UnbatchGradOp assertion crash
CVE-2022-35952 TensorFlow: DoS via SobolSample CHECK-failure
CVE-2022-35935 TensorFlow: tf.reshape DoS via integer overflow
CVE-2022-35934 TensorFlow CLI: eval() injection enables reverse shell
CVE-2022-29216 TensorFlow: input validation DoS in FFT signal ops
CVE-2022-29213 TensorFlow Lite: quantization assert crash (DoS)
CVE-2022-29212 TensorFlow: NaN input crashes histogram op (CPU DoS)
CVE-2022-29211 TensorFlow: CHECK macro type confusion causes DoS
CVE-2022-29209 TensorFlow: OOB write in EditDistance enables local DoS
CVE-2022-29208 TensorFlow: SparseTensorDenseAdd null ptr deref DoS
CVE-2022-29206 TensorFlow: NULL deref DoS via compat.v1 ops
CVE-2022-29205 TensorFlow: DoS via UnsortedSegmentJoin input validation
CVE-2022-29204 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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