PT-2021-18289 · Google · Tensorflow
Yakun Zhang
+1
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Published
2021-05-14
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Updated
2024-03-06
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CVE-2021-29538
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions:
TensorFlow versions prior to 2.5.0
TensorFlow versions 2.4.2 and earlier
TensorFlow versions 2.3.3 and earlier
TensorFlow versions 2.2.3 and earlier
TensorFlow versions 2.1.4 and earlier
Description:
An attacker can cause a division by zero to occur in
Conv2DBackpropFilter. This is because the implementation computes a divisor based on user-provided data, specifically the shape of the tensors given as arguments. If all shapes are empty, then work unit size is 0, and since there is no check for this case before division, this results in a runtime exception, with potential to be abused for a denial of service.Recommendations:
For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later.
For TensorFlow version 2.4.2, update to version 2.4.2 or later.
For TensorFlow version 2.3.3, update to version 2.3.3 or later.
For TensorFlow version 2.2.3, update to version 2.2.3 or later.
For TensorFlow version 2.1.4, update to version 2.1.4 or later.
As a temporary workaround, consider avoiding the use of
Conv2DBackpropFilter with empty shapes until a patch is available.Exploit
Fix
Divide By Zero
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow