PT-2020-16389 · Google · Tensorflow
Mihaimaruseac
·
Published
2020-12-10
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Updated
2024-03-06
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CVE-2020-26266
CVSS v3.1
5.3
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 1.15.5
TensorFlow versions prior to 2.0.4
TensorFlow versions prior to 2.1.3
TensorFlow versions prior to 2.2.2
TensorFlow versions prior to 2.3.2
TensorFlow versions prior to 2.4.0
Description
In affected versions of TensorFlow, under certain cases, a saved model can trigger the use of uninitialized values during code execution. This issue is caused by having tensor buffers filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen.
Recommendations
For versions prior to 1.15.5, update to version 1.15.5 or later.
For versions prior to 2.0.4, update to version 2.0.4 or later.
For versions prior to 2.1.3, update to version 2.1.3 or later.
For versions prior to 2.2.2, update to version 2.2.2 or later.
For versions prior to 2.3.2, update to version 2.3.2 or later.
For versions prior to 2.4.0, update to version 2.4.0 or later.
Exploit
Fix
Use of Uninitialized Resource
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow