AI Threat Alert
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
Critical
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Latest AI Security Threats
Showing 20 of 2377 results CVE-2022-29216 TensorFlow CLI: eval() injection enables reverse shell 7.8 0.5% tensorflow May 21 MEDI E CVE-2022-29213 TensorFlow: input validation DoS in FFT signal ops 5.5 0.3% tensorflow May 21 MEDI E CVE-2022-29212 TensorFlow Lite: quantization assert crash (DoS) 5.5 0.3% tensorflow May 21 MEDI E CVE-2022-29211 TensorFlow: NaN input crashes histogram op (CPU DoS) 5.5 0.3% tensorflow May 21 MEDI CVE-2022-29210 TensorFlow: heap OOB in TensorKey causes DoS 5.5 0.2% tensorflow May 21 MEDI E CVE-2022-29209 TensorFlow: CHECK macro type confusion causes DoS 5.5 0.4% tensorflow May 21 HIGH E CVE-2022-29208 TensorFlow: OOB write in EditDistance enables local DoS 7.1 0.4% tensorflow May 20 MEDI E CVE-2022-29206 TensorFlow: SparseTensorDenseAdd null ptr deref DoS 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29205 TensorFlow: NULL deref DoS via compat.v1 ops 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29204 TensorFlow: DoS via UnsortedSegmentJoin input validation 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29203 TensorFlow: DoS via SpaceToBatchND integer overflow 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29202 TensorFlow: DoS via ragged tensor memory exhaustion 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29201 TensorFlow: QuantizedConv2D null deref crashes model server 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29207 TensorFlow: null-ptr deref in eager mode causes DoS 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29200 TensorFlow: LSTMBlockCell DoS via invalid tensor rank 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29199 TensorFlow: CHECK-fail DoS in LoadAndRemapMatrix op 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29198 TensorFlow: DoS via sparse tensor input validation failure 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29197 TensorFlow: DoS via UnsortedSegmentJoin input validation 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29196 TensorFlow: DoS via invalid Conv3D filter input 5.5 0.3% tensorflow May 20 MEDI E CVE-2022-29195 TensorFlow: StagePeek DoS via unvalidated index scalar 5.5 0.3% tensorflow May 20 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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