PT-2021-18307 · Google · Tensorflow
Yakun Zhang
+1
·
Published
2021-05-14
·
Updated
2024-03-06
·
CVE-2021-29556
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 version 2.4.2
TensorFlow version 2.3.3
TensorFlow version 2.2.3
TensorFlow version 2.1.4
Description
An attacker can cause a denial of service via a FPE runtime error in
tf.raw ops.Reverse. This is because the implementation performs a division based on the first dimension of the tensor argument. The issue can be triggered by controlling the first dimension of the tensor argument, allowing an attacker to cause 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, apply the patch from GitHub commit 4071d8e2f6c45c1955a811fee757ca2adbe462c1.
For TensorFlow version 2.3.3, apply the patch from GitHub commit 4071d8e2f6c45c1955a811fee757ca2adbe462c1.
For TensorFlow version 2.2.3, apply the patch from GitHub commit 4071d8e2f6c45c1955a811fee757ca2adbe462c1.
For TensorFlow version 2.1.4, apply the patch from GitHub commit 4071d8e2f6c45c1955a811fee757ca2adbe462c1.
As a temporary workaround, consider avoiding the use of
tf.raw ops.Reverse until a patch is applied.Exploit
Fix
Divide By Zero
Found an issue in the description? Have something to add? Feel free to write us 👾
Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow