PT-2023-20223

CVE-2023-25662

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Published

2023-03-24

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Updated

2026-07-13

Description by

CVSS 3.1
7.5
High
MetricsAV: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 TensorFlow versions prior to 2.11.1
Description The issue is related to an integer overflow in the EditDistance function of TensorFlow, which can cause a deadlock when the hypothesis shape t is empty. This occurs because hypothesis shape t->NumElements() - 1 will result in an integer overflow. The vulnerability can be exploited by passing a specific set of parameters to the tf.raw ops.EditDistance function, including empty hypothesis shape and truth shape.
Recommendations For versions prior to 2.12.0, update to TensorFlow version 2.12.0 to resolve the issue. For versions prior to 2.11.1, update to TensorFlow version 2.11.1 to resolve the issue. As a temporary workaround, consider avoiding the use of the tf.raw ops.EditDistance function with empty hypothesis shape and truth shape parameters until a patch is applied.
Exploitability
Exploit
Fix
Impacts
Researchers
Vendors
Affected products
Related identifiers
GHSA-7JVM-XXMR-V5CW
AZL-31209
AZL-35307
BIT-TENSORFLOW-2023-25662
PYSEC-2026-1958
PYSEC-2026-3130
PYSEC-2026-3293
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