PT-2021-18277 · 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-2021-29526
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 trigger a division by 0 in
tf.raw ops.Conv2D because the implementation does a division by a quantity that is controlled by the caller. This issue can be exploited by providing a specially crafted input to the tf.raw ops.Conv2D function, which can cause a division by zero error.Recommendations:
For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later to resolve the issue.
For TensorFlow versions 2.4.2 and earlier, update to version 2.4.2 or later to resolve the issue.
For TensorFlow versions 2.3.3 and earlier, update to version 2.3.3 or later to resolve the issue.
For TensorFlow versions 2.2.3 and earlier, update to version 2.2.3 or later to resolve the issue.
For TensorFlow versions 2.1.4 and earlier, update to version 2.1.4 or later to resolve the issue.
As a temporary workaround, consider avoiding the use of the
tf.raw ops.Conv2D function with untrusted input until a patch is available.Exploit
Fix
Divide By Zero
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow