CVE-2023-25669 – tensorflow-cpu

Package

Manager: pip
Name: tensorflow-cpu
Vulnerable Version: >=0 <2.11.1

Severity

Level: High

CVSS v3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00156 pctl0.36945

Details

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA ### Impact If the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE. ```python import tensorflow as tf import numpy as np @tf.function(jit_compile=True) def test(): y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW") return y print(test()) ``` ### Patches We have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d). The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by r3pwnx of 360 AIVul Team

Metadata

Created: 2023-03-24T21:56:53Z
Modified: 2023-03-30T22:16:24Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-rcf8-g8jv-vg6p/GHSA-rcf8-g8jv-vg6p.json
CWE IDs: ["CWE-697"]
Alternative ID: GHSA-rcf8-g8jv-vg6p
Finding: F184
Auto approve: 1