Cyber Resilience

CVE-2022-41883

MediumPublic PoC

Published: 18 November 2022

Published
18 November 2022
Modified
21 November 2024
KEV Added
—
Patch
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CVSS Score v3.1 6.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
EPSS Score 0.0018 39.9th percentile
Risk Priority 14 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-41883 is a medium-severity Out-of-bounds Read (CWE-125) vulnerability in Google Tensorflow. Its CVSS base score is 6.8 (Medium).

Operationally, ranked at the 39.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

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

EU & UK References

Vulnerability details

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included…

more

in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

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, tensorflow

Related Threats

Affected Assets

google
tensorflow
2.10.0

Mitigating Controls

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

References