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
2,385

AI/ML CVEs Tracked

340

Critical

373

New This Week

18

In CISA KEV

Latest AI Security Threats

Showing 9 of 229 results — Critical severity, no patch
CRITICAL EXPLOIT AVAIL

TensorFlow: integer overflow in Grappler enables RCE

CVE-2022-23587
9.8
EPSS 0.9%
Code Execution DoS Framework Inference
tensorflow CWE-190 3.7K 3 ATLAS
CRITICAL EXPLOIT AVAIL

TensorFlow: path traversal in get_file allows file overwrite

CVE-2021-35958
9.1
EPSS 1.9%
Supply Chain Code Execution Framework Training Data
tensorflow CWE-22 3.7K 4 ATLAS
CRITICAL EXPLOIT AVAIL

TFLite: OOB read/write via tensor dimension mismatch

CVE-2020-15208
9.8
EPSS 0.9%
Code Execution Data Extraction Supply Chain Framework Inference
tensorflow 3.7K 3 ATLAS
CRITICAL EXPLOIT AVAIL

TFLite: OOB write via unchecked negative axis index

CVE-2020-15207
9.0
EPSS 1.2%
Code Execution DoS Framework Inference
tensorflow CWE-787 3.7K 3 ATLAS
CRITICAL EXPLOIT AVAIL

TensorFlow: heap overflow in StringNGrams, ASLR bypass

CVE-2020-15205
9.8
EPSS 1.0%
Code Execution Data Leakage Framework Inference
tensorflow CWE-787 3.7K 3 ATLAS
CRITICAL EXPLOIT AVAIL

TensorFlow: Shard API int truncation enables memory corruption

CVE-2020-15202
9.0
EPSS 1.2%
Code Execution DoS Framework Inference
tensorflow 3.7K 4 ATLAS
CRITICAL EXPLOIT AVAIL

TensorFlow: heap OOB read in sparse/ragged count ops

CVE-2020-15196
9.9
EPSS 0.9%
Code Execution Data Extraction Framework Inference Training Data
tensorflow CWE-125 3.7K 4 ATLAS
CRITICAL EXPLOIT AVAIL

scikit-learn: RCE via malicious joblib model deserialization

CVE-2020-13092
9.8
EPSS 2.6%
Code Execution Supply Chain Framework Model
scikit-learn CWE-502 29.2K 5 ATLAS
CRITICAL

TensorFlow: heap overflow in UnsortedSegmentSum op

CVE-2019-16778
9.8
EPSS 0.8%
Code Execution Supply Chain Framework Inference
tensorflow CWE-681 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.

Need deeper analysis?

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