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
2,375

AI/ML CVEs Tracked

336

Critical

408

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 820 results — Active exploitation, no patch
MEDIUM EXPLOIT AVAIL

TensorFlow: DoS via empty image in DrawBoundingBoxes

CVE-2021-29533
5.5
EPSS 0.2%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap OOB read via RaggedCross op

CVE-2021-29532
7.1
EPSS 0.2%
Data Extraction DoS Framework Inference
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: DoS crash via empty tensor in PNG encoding

CVE-2021-29531
5.5
EPSS 0.2%
DoS Framework
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: null ptr deref in sparse Cholesky ops

CVE-2021-29530
7.8
EPSS 0.2%
DoS Code Execution Framework
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap buffer overflow in quantized image resize

CVE-2021-29529
7.8
EPSS 0.3%
Code Execution Supply Chain Framework Inference
tensorflow CWE-193 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: DoS via division-by-zero in QuantizedMul

CVE-2021-29528
5.5
EPSS 0.2%
DoS Framework Inference
tensorflow CWE-369 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: divide-by-zero DoS in QuantizedConv2D

CVE-2021-29527
5.5
EPSS 0.2%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: Conv2D divide-by-zero crashes ML workloads

CVE-2021-29526
5.5
EPSS 0.2%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: div-by-zero DoS in Conv2DBackpropInput

CVE-2021-29525
7.8
EPSS 0.2%
DoS Code Execution Framework Inference
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: div-by-zero DoS in Conv2D backprop op

CVE-2021-29524
5.5
EPSS 0.2%
DoS Framework Training Data
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: DoS via integer overflow in sparse ops

CVE-2021-29523
5.5
EPSS 0.2%
DoS Framework
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: Conv3DBackprop div-by-zero crashes training

CVE-2021-29522
5.5
EPSS 0.2%
DoS Framework
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: DoS crash via negative sparse tensor shape

CVE-2021-29521
5.5
EPSS 0.2%
DoS Framework
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap buffer overflow in Conv3DBackprop ops

CVE-2021-29520
7.8
EPSS 0.2%
Code Execution Supply Chain Framework Training Data
tensorflow CWE-787 3.7K 4 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow SparseCross: type confusion DoS

CVE-2021-29519
5.5
EPSS 0.2%
DoS Framework
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: null ptr deref in session ops, local RCE

CVE-2021-29518
7.8
EPSS 0.2%
Code Execution DoS Framework Inference
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: Conv3D div-by-zero crashes ML processes

CVE-2021-29517
5.5
EPSS 0.2%
DoS Framework Inference
tensorflow 3.7K 3 ATLAS
MEDIUM EXPLOIT AVAIL

TensorFlow: null ptr deref crashes RaggedTensor ops

CVE-2021-29516
5.5
EPSS 0.2%
DoS Framework
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: NULL ptr deref in MatrixDiag ops (crash/RCE)

CVE-2021-29515
7.8
EPSS 0.2%
Code Execution DoS Supply Chain Framework Inference
tensorflow 3.7K 3 ATLAS
HIGH EXPLOIT AVAIL

TensorFlow: heap buffer overflow in RaggedBincount op

CVE-2021-29514
7.8
EPSS 0.2%
Code Execution Supply Chain Framework Inference Training Data
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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