🛡️ AZL-31206 — tensorflow

⚪ Unknown ✅ No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

CVE-2023-25801 affecting package tensorflow for versions less than 2.11.1-1

TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.

How this vulnerability can be exploited

This issue can be reached with local access to the system, attack complexity is low, an attacker needs low-level privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity high, availability high.

Affected software

AZL-31206 is recorded against 1 package.

  • tensorflow (fixed in 2.11.1-1)

Timeline and source

Published on 25 March 2023 and last revised on 21 April 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

References

nvd.nist.gov (Web)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2023-03-25
Updated 2026-08-12
Modified 2026-04-21
Fix URL N/A

Affected Packages

Software From version Fixed in
tensorflow — 2.11.1-1

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