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.

Sources
Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
2,377

AI/ML CVEs Tracked

337

Critical

392

New This Week

18

In CISA KEV

Sort: Date CVSS EPSS KEV first Most exploited
Filter: All Critical High Medium KEV only Active exploitation Has patch No patch

Latest AI Security Threats

Showing 20 of 2377 results
HIGH

TensorFlow: DoS via malformed SetSize tensor shape

CVE-2022-35993
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: DoS via malformed TensorList element shape

CVE-2022-35992
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via TensorListScatter CHECK fail

CVE-2022-35991
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail

CVE-2022-36026
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via FakeQuant tensor rank mismatch

CVE-2022-36019
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: RaggedTensor CHECK fail remote DoS

CVE-2022-36018
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow CWE-617 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via quantization gradient rank check

CVE-2022-35990
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: MaxPool GPU kernel DoS via oversized ksize

CVE-2022-35989
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: GPU DoS via empty input to matrix_rank op

CVE-2022-35988
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via DenseBincount shape mismatch

CVE-2022-35987
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: RaggedBincount DoS crashes inference server

CVE-2022-35986
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via malformed LRNGrad tensor input

CVE-2022-35985
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: int64 type mismatch triggers remote DoS

CVE-2022-35984
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via Save/SaveSlices dtype CHECK fail

CVE-2022-35983
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via invalid SparseBincount input

CVE-2022-35982
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via FractionalMaxPoolGrad assertion

CVE-2022-35981
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via nonscalar input in QuantizedRelu

CVE-2022-35979
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via nonscalar quantization op input

CVE-2022-35974
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via QuantizedMatMul input validation

CVE-2022-35973
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via QuantizedBiasAdd rank validation

CVE-2022-35972
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS

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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