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 1559 results — no patch CVE-2021-41199 TensorFlow: tf.image.resize integer overflow DoS 5.5 0.2% tensorflow Nov 5 MEDI E CVE-2021-41198 TensorFlow: tf.tile integer overflow crashes ML process 5.5 0.2% tensorflow Nov 5 MEDI E CVE-2021-41197 TensorFlow: integer overflow in tensor dims causes DoS 5.5 0.3% tensorflow Nov 5 MEDI E CVE-2021-41196 TensorFlow: integer underflow crashes Keras pooling layers 5.5 0.2% tensorflow Nov 5 MEDI E CVE-2021-41195 TensorFlow: integer overflow in segment ops causes DoS 5.5 0.2% tensorflow Nov 5 HIGH CVE-2021-39160 nbgitpuller: RCE via OS command injection in git URLs 8.8 1.7% — Aug 30 MEDI CVE-2021-37690 TensorFlow: use-after-free crashes training processes 6.6 0.2% tensorflow Aug 13 MEDI CVE-2021-37692 TensorFlow: string tensor GC segfault causes process DoS 5.5 0.2% tensorflow Aug 12 MEDI CVE-2021-37691 TensorFlow TFLite: DoS via crafted model in LSH kernel 5.5 0.2% tensorflow Aug 12 MEDI CVE-2021-37687 TFLite: heap OOB read via negative indices in GatherNd 5.5 0.2% tensorflow Aug 12 MEDI CVE-2021-37685 TensorFlow Lite: OOB read leaks heap memory in expand_dims 5.5 0.2% tensorflow Aug 12 MEDI CVE-2021-37684 TensorFlow TFLite: DoS via division by zero in pooling 5.5 0.1% tensorflow Aug 12 MEDI CVE-2021-37683 TFLite: division by zero DoS in inference kernels 5.5 0.2% tensorflow Aug 12 HIGH CVE-2021-37682 TFLite: uninitialized quant params corrupt inference 7.1 0.2% tensorflow Aug 12 HIGH CVE-2021-37679 TensorFlow: heap over-read leaks memory via RaggedTensor 7.8 0.2% tensorflow Aug 12 HIGH E CVE-2021-37678 TensorFlow/Keras: RCE via YAML model deserialization 8.8 0.5% tensorflow Aug 12 MEDI CVE-2021-37677 TensorFlow: DoS via invalid Dequantize axis argument 5.5 0.1% tensorflow Aug 12 MEDI CVE-2021-37674 TensorFlow: DoS via MaxPoolGrad invalid tensor input 5.5 0.2% tensorflow Aug 12 MEDI CVE-2021-37673 TensorFlow: MapStage CHECK-fail causes process DoS 5.5 0.2% tensorflow Aug 12 MEDI CVE-2021-37672 TensorFlow: heap OOB read in SdcaOptimizerV2 5.5 0.2% tensorflow Aug 12 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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