GitHub Advisoryadvisory · PyPI

GHSA-6wfh-89q8-44jq TensorFlow has null dereference on ParallelConcat with XLA

HIGH Published 2023-03-24 Modified 2023-03-27 Official page ↗
Aliases
CVE-2023-25676
Ecosystem
PyPI
Packages
tensorflow, tensorflow-cpu, tensorflow-gpu
Severity
High
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-476
Reviewed
2023-03-24

Affected packages

• PyPI tensorflow: < 2.11.1 → fixed in 2.11.1 • PyPI tensorflow-cpu: < 2.11.1 → fixed in 2.11.1 • PyPI tensorflow-gpu: < 2.11.1 → fixed in 2.11.1

Description

Impact When running with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. ```python import tensorflow as tf func = tf.raw_ops.ParallelConcat para = {'shape': 0, 'values': [1]} @tf.function(jit_compile=True) def test(): y = func(**para) return y test() ``` Patches We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15. 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 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

Related

Alias · CVE (1)

  • CVE-2023-25676 TensorFlow is an open source machine learning platform. vulnerability

Weakness · CWE (1)

  • CWE-476 NULL Pointer Dereference weakness

References