PT-2023-20236
CVE-2023-25674
·
Published
2023-03-24
·
Updated
2026-07-13
Description by
CVSS 3.1
7.5
HighMetricsAV: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.Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
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