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 2377 results CVE-2022-35971 TensorFlow: DoS via invalid quantization tensor rank 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35970 TensorFlow: DoS via malformed QuantizedInstanceNorm tensors 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35969 TensorFlow: DoS via malformed Conv2DBackpropInput 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35968 TensorFlow: DoS via AvgPoolGrad shape validation failure 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35967 TensorFlow: DoS via QuantizedAdd tensor rank flaw 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35966 TensorFlow: DoS via QuantizedAvgPool input validation 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35965 TensorFlow: NULL deref DoS via empty tensor input 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35964 TensorFlow: remote DoS via BlockLSTMGradV2 validation 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35963 TensorFlow: DoS via FractionalAvgPoolGrad overflow 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35960 TensorFlow: DoS via malformed TensorListReserve input 7.5 0.5% tensorflow Sep 16 HIGH E CVE-2022-35959 TensorFlow: DoS via AvgPool3DGradOp input overflow 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35952 TensorFlow: DoS via UnbatchGradOp assertion crash 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-35941 TensorFlow: DoS via negative ksize in AvgPoolOp 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-35940 TensorFlow: integer overflow in RaggedRangeOp crashes service 7.5 0.5% tensorflow Sep 16 CRIT CVE-2022-35939 TensorFlow: ScatterNd OOB write enables RCE/crash 9.8 0.4% tensorflow Sep 16 CRIT CVE-2022-35938 TensorFlow: OOB read in GatherNd causes crash/data leak 9.1 0.4% tensorflow Sep 16 CRIT CVE-2022-35937 TensorFlow: GatherNd OOB read crashes inference servers 9.1 0.4% tensorflow Sep 16 HIGH E CVE-2022-35935 TensorFlow: DoS via SobolSample CHECK-failure 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35934 TensorFlow: tf.reshape DoS via integer overflow 7.5 0.4% tensorflow Sep 16 MEDI CVE-2022-35918 Streamlit: path traversal leaks server filesystem 6.5 1.3% streamlit Aug 1 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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