Vulnerability Monitor

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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.

Published

2022-02-03T11:15:07.953

Last Modified

2025-05-05T17:17:48.730

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 7.6 (HIGH)

CVSSv2 Vector

AV:N/AC:L/Au:S/C:P/I:P/A:P

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: SINGLE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

8.0

Impact Score

6.4

Weaknesses
  • Type: Primary
    CWE-190
  • Type: Secondary
    CWE-190
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow ≤ 2.5.2 Yes
Application google tensorflow ≤ 2.6.2 Yes
Application google tensorflow 2.7.0 Yes
References