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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
3,018

AI/ML CVEs Tracked

424

Critical

112

New This Week

19

In CISA KEV

Latest AI Security Threats

Showing 20 of 1382 results — Active exploitation
HIGH EXPLOIT AVAIL

TensorFlow: int32 overflow crashes Poisson loss function

CVE-2022-41887
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: integer overflow in image op causes DoS

CVE-2022-41886
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: FusedResizeAndPadConv2D overflow causes DoS

CVE-2022-41885
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow CWE-131 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via malformed numpy array shape

CVE-2022-41884
7.5
EPSS 0.3%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
CRITICAL EXPLOIT AVAIL

TensorFlow: heap OOB read in candidate sampler op

CVE-2022-41880
9.1
EPSS 0.4%
Data Extraction DoS Code Execution Framework Inference Training Data
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: executor crash via malformed op inputs (DoS)

CVE-2022-41883
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

Label Studio: SSRF + file read, self-reg bypass

CVE-2022-36551
6.5
EPSS 5.4%
Data Extraction Auth Bypass Data Leakage Training Data Framework
label-studio Patch: 1.6.0 CWE-918 1 6 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS crash in transposed conv quantization

CVE-2022-36027
7.5
EPSS 0.6%
DoS Framework
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via malformed Requantize tensors

CVE-2022-36017
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via CHECK fail in fake_quant gradient

CVE-2022-36005
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via tf.random.gamma CHECK assertion

CVE-2022-36004
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: DoS via EmptyTensorList CHECK fail

CVE-2022-35998
7.5
EPSS 0.4%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: CHECK-fail DoS in tf.sparse.cross op

CVE-2022-35997
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 0.5%
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 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

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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