AI Threat AlertAI 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 4307 resultsTensorFlow: uninitialized var in Einsum allows local RCE
CVE-2021-41201TensorFlow: DoS crash in tf.summary file writer
CVE-2021-41200TensorFlow: tf.image.resize integer overflow DoS
CVE-2021-41199TensorFlow: tf.tile integer overflow crashes ML process
CVE-2021-41198TensorFlow: integer overflow in tensor dims causes DoS
CVE-2021-41197TensorFlow: integer underflow crashes Keras pooling layers
CVE-2021-41196TensorFlow: integer overflow in segment ops causes DoS
CVE-2021-41195nbgitpuller: RCE via OS command injection in git URLs
CVE-2021-39160TensorFlow: use-after-free crashes training processes
CVE-2021-37690TensorFlow: string tensor GC segfault causes process DoS
CVE-2021-37692TensorFlow TFLite: DoS via crafted model in LSH kernel
CVE-2021-37691TFLite: heap OOB read via negative indices in GatherNd
CVE-2021-37687TensorFlow Lite: OOB read leaks heap memory in expand_dims
CVE-2021-37685TensorFlow TFLite: DoS via division by zero in pooling
CVE-2021-37684TFLite: division by zero DoS in inference kernels
CVE-2021-37683TFLite: uninitialized quant params corrupt inference
CVE-2021-37682TensorFlow: heap over-read leaks memory via RaggedTensor
CVE-2021-37679TensorFlow/Keras: RCE via YAML model deserialization
CVE-2021-37678TensorFlow: DoS via invalid Dequantize axis argument
CVE-2021-37677TensorFlow: DoS via MaxPoolGrad invalid tensor input
CVE-2021-37674Frequently 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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