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
2,374

AI/ML CVEs Tracked

344

Critical

407

New This Week

18

In CISA KEV

Latest AI Security Threats

Showing 20 of 1026 results — High severity
HIGH EXPLOIT AVAIL

TensorFlow: heap OOB read in ragged.cross shape inference

CVE-2021-41212
7.1
EPSS 0.2%
DoS Data Extraction Code Execution Framework Training Data Inference
tensorflow CWE-125 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap OOB read in QuantizeV2 shape inference

CVE-2021-41211
7.1
EPSS 0.2%
Data Extraction DoS Framework Training Data Inference
tensorflow CWE-125 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap OOB read in quantize ops, DoS+leak

CVE-2021-41205
7.1
EPSS 0.1%
DoS Data Leakage Framework Training Data Inference
tensorflow CWE-125 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: malformed checkpoint triggers overflow/crash

CVE-2021-41203
7.8
EPSS 0.2%
Supply Chain Code Execution DoS Framework Training Data
tensorflow CWE-190 3.7K 4 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap OOB read in SparseCountSparseOutput

CVE-2021-41210
7.1
EPSS 0.1%
Data Extraction Code Execution DoS Framework Training Data
tensorflow CWE-125 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: uninitialized var in Einsum allows local RCE

CVE-2021-41201
7.8
EPSS 0.2%
Code Execution Framework Inference
tensorflow CWE-824 3.7K 3 ATLAS
HIGH

nbgitpuller: RCE via OS command injection in git URLs

CVE-2021-39160
8.8
EPSS 1.7%
Code Execution Supply Chain Framework Training Data
CWE-78 5 ATLAS
HIGH

TFLite: uninitialized quant params corrupt inference

CVE-2021-37682
7.1
EPSS 0.2%
Code Execution DoS Supply Chain Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: heap over-read leaks memory via RaggedTensor

CVE-2021-37679
7.8
EPSS 0.2%
Data Leakage Code Execution Framework Training Data
tensorflow CWE-681 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow/Keras: RCE via YAML model deserialization

CVE-2021-37678
8.8
EPSS 0.5%
Code Execution Supply Chain Framework Model
tensorflow CWE-502 3.7K 4 ATLAS
HIGH

TensorFlow MKL: null-ptr/heap-OOB in requantization ops

CVE-2021-37665
7.8
EPSS 0.2%
Code Execution DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: QuantizeV2 heap OOB/null-deref in quantization

CVE-2021-37663
7.8
EPSS 0.2%
Code Execution DoS Framework Training Data Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow Lite: null ptr deref crashes SVDF inference

CVE-2021-37681
7.8
EPSS 0.2%
Code Execution DoS Framework Inference
tensorflow 3.7K 4 ATLAS
HIGH

TensorFlow: null ptr deref in SparseFillEmptyRows op

CVE-2021-37676
7.8
EPSS 0.2%
Code Execution DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: null-ptr deref in Map ops, local C/I/A:High

CVE-2021-37671
7.8
EPSS 0.2%
DoS Code Execution Framework Training Data Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: UnicodeEncode null deref, local code exec

CVE-2021-37667
7.8
EPSS 0.2%
Code Execution DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: null-ptr deref in RaggedTensorToVariant op

CVE-2021-37666
7.8
EPSS 0.2%
Code Execution DoS Framework Training Data
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: double-free in BoostedTrees, code exec

CVE-2021-37652
7.8
EPSS 0.2%
Code Execution Framework Training Data
tensorflow CWE-415 3.7K 3 ATLAS
HIGH

TensorFlow SaveV2: null ptr deref, local crash/RCE

CVE-2021-37648
7.8
EPSS 0.2%
Code Execution DoS Framework Training Data
tensorflow 3.7K 3 ATLAS
HIGH

TensorFlow: heap OOB read in BoostedTrees ops

CVE-2021-37664
7.1
EPSS 0.2%
Data Extraction DoS Framework Training Data
tensorflow 3.7K 4 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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