PT-2022-15066 · Google · Tensorflow
Yu Tian
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Published
2022-02-03
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Updated
2024-03-06
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CVE-2022-21727
CVSS v3.1
7.6
High
| Vector | AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.8.0
TensorFlow versions 2.7.1 and earlier
TensorFlow versions 2.6.3 and earlier
TensorFlow versions 2.5.3 and earlier
Description
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.Recommendations
For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later.
For versions 2.7.1 and earlier, update to TensorFlow 2.7.1 or later.
For versions 2.6.3 and earlier, update to TensorFlow 2.6.3 or later.
For versions 2.5.3 and earlier, update to TensorFlow 2.5.3 or later.
As a temporary workaround, consider restricting the use of the
axis argument in the Dequantize function to prevent integer overflow.Exploit
Fix
Integer Overflow
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow