Vulnerability Database

289,871

Total vulnerabilities in the database

CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes axis + 1, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

CVSS v3:

  • Severity: High
  • Score: 8.8
  • AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CVSS v2:

  • Severity: Medium
  • Score: 6.5
  • AV:N/AC:L/Au:S/C:P/I:P/A:P

CWEs:

Software From Fixed in
google / tensorflow 2.7.0 2.7.0.x
google / tensorflow - 2.5.2.x
google / tensorflow 2.6.0 2.6.2.x
tensorflow - 2.5.3
tensorflow 2.6.0 2.6.3
tensorflow 2.7.0 2.7.0.x
tensorflow 2.7.0 2.7.1
tensorflow-cpu - 2.5.3
tensorflow-cpu 2.6.0 2.6.3
tensorflow-cpu 2.7.0 2.7.0.x
tensorflow-cpu 2.7.0 2.7.1
tensorflow-gpu - 2.5.3
tensorflow-gpu 2.6.0 2.6.3
tensorflow-gpu 2.7.0 2.7.0.x
tensorflow-gpu 2.7.0 2.7.1