Cyber Resilience

CVE-2022-41886

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 4.8 CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0015 35.3th percentile
Risk Priority 10 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-41886 is a medium-severity Incorrect Calculation of Buffer Size (CWE-131) vulnerability in Google Tensorflow. Its CVSS base score is 4.8 (Medium).

Operationally, ranked at the 35.3th 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 `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick…

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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-131

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 · ≤ 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