CVE-2023-25662 – tensorflow

Package

Manager: pip
Name: tensorflow
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: 0.00115 pctl0.30823

Details

TensorFlow vulnerable to integer overflow in EditDistance ### Impact TFversion 2.11.0 //tensorflow/core/ops/array_ops.cc:1067 const Tensor* hypothesis_shape_t = c->input_tensor(2); std::vector<DimensionHandle> dims(hypothesis_shape_t->NumElements() - 1); for (int i = 0; i < dims.size(); ++i) { dims[i] = c->MakeDim(std::max(h_values(i), t_values(i))); } if hypothesis_shape_t is empty, hypothesis_shape_t->NumElements() - 1 will be integer overflow, and the it will deadlock ```python import tensorflow as tf para={ 'hypothesis_indices': [[]], 'hypothesis_values': ['tmp/'], 'hypothesis_shape': [], 'truth_indices': [[]], 'truth_values': [''], 'truth_shape': [], 'normalize': False } tf.raw_ops.EditDistance(**para) ``` ### Patches We have patched the issue in GitHub commit [08b8e18643d6dcde00890733b270ff8d9960c56c](https://github.com/tensorflow/tensorflow/commit/08b8e18643d6dcde00890733b270ff8d9960c56c). The fix will be included in TensorFlow 2.12.0. 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

Metadata

Created: 2023-03-24T21:58:31Z
Modified: 2023-03-27T21:58:27Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-7jvm-xxmr-v5cw/GHSA-7jvm-xxmr-v5cw.json
CWE IDs: ["CWE-190"]
Alternative ID: GHSA-7jvm-xxmr-v5cw
Finding: F111
Auto approve: 1