PT-2023-20236 · Google · Tensorflow
R3Pwnx
·
Published
2023-03-24
·
Updated
2024-03-06
·
CVE-2023-25674
CVSS v3.1
7.5
High
| Vector | AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.12.0 and 2.11.1
Description
The issue is a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1. The error can be triggered by using the
tf.raw ops.RandomShuffle function with specific parameters, such as value, seed, and seed2. For example, using the parameters {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649} can cause the error.Recommendations
To resolve the issue, update to TensorFlow 2.12.0 or 2.11.1, as these versions include the fix for the null pointer error in RandomShuffle with XLA enabled.
As a temporary workaround, consider disabling the XLA enable feature for the
tf.raw ops.RandomShuffle function until a patch is available.
Restrict access to the tf.raw ops.RandomShuffle function to minimize the risk of exploitation.
Avoid using the parameters value, seed, and seed2 in the affected tf.raw ops.RandomShuffle function until the issue is resolved.Exploit
Fix
NULL Pointer Dereference
Found an issue in the description? Have something to add? Feel free to write us 👾
Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow