CVE-2022-41884 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.8.4 || >=2.9.0 <2.9.3 || >=2.10.0 <2.10.1

Severity

Level: Medium

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

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

EPSS: 0.00146 pctl0.3562

Details

Seg fault in `ndarray_tensor_bridge` due to zero and large inputs ### Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: ```python np.ones((0, 2**31, 2**31)) ``` An example of a proof of concept: ```python import numpy as np import tensorflow as tf input_val = tf.constant([1]) shape_val = np.array([i for i in range(21)]) tf.broadcast_to(input=input_val,shape=shape_val) ``` The return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked. ### Patches We have patched the issue in GitHub commit [2b56169c16e375c521a3bc8ea658811cc0793784](https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784). The fix will be included 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. ### 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 Pattarakrit Rattanukul.

Metadata

Created: 2022-11-21T20:39:49Z
Modified: 2022-11-21T20:39:49Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/11/GHSA-jq6x-99hj-q636/GHSA-jq6x-99hj-q636.json
CWE IDs: ["CWE-670"]
Alternative ID: GHSA-jq6x-99hj-q636
Finding: F164
Auto approve: 1