Cyber Resilience

CVE-2022-41910

Medium

Published: 06 December 2022

Published
06 December 2022
Modified
21 November 2024
KEV Added
—
Patch
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CVSS Score v3.1 4.8 CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0032 55.7th percentile
Risk Priority 10 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-41910 is a medium-severity Out-of-bounds Read (CWE-125) vulnerability in Google Tensorflow. Its CVSS base score is 4.8 (Medium).

Operationally, ranked in the top 44.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Deep Learning Frameworks.

EU & UK References

Vulnerability details

TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory…

more

read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.

CWE(s)
CWE-125

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: tensorflow, machine learning, tensorflow, tensorflow

Related Threats

Affected Assets

google
tensorflow
2.10.0 · ≤ 2.8.4 · 2.9.0 — 2.9.3

Mitigating Controls

No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.

References