Cyber Resilience

CVE-2022-23559

HighPublic PoC

Published: 04 February 2022

Published
04 February 2022
Modified
21 November 2024
KEV Added
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Patch
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CVSS Score v3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0052 67.2th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-23559 is a high-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Google Tensorflow. Its CVSS base score is 8.8 (High).

Operationally, ranked in the top 32.8% of CVEs by exploit likelihood; 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 Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious…

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user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

CWE(s)
CWE-190

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

Related Threats

Affected Assets

google
tensorflow
2.7.0 · ≤ 2.5.2 · 2.6.0 — 2.6.2

Mitigating Controls

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

References