PT-2022-23103

CVE-2022-36004

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Published

2022-09-16

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Updated

2026-07-13

Description by

CVSS 3.1
5.9
Medium
MetricsAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier
Description The issue occurs when tf.random.gamma receives large input shape and rates, resulting in a CHECK fail that can trigger a denial of service attack. This can happen when the function is called with specific arguments, such as large shapes and rates. There are no known workarounds for this issue.
Recommendations For TensorFlow versions prior to 2.10.0, update to version 2.10.0 or later to resolve the issue. For TensorFlow versions 2.9.1 and earlier, update to version 2.9.1 or later to resolve the issue. For TensorFlow versions 2.8.1 and earlier, update to version 2.8.1 or later to resolve the issue. For TensorFlow versions 2.7.2 and earlier, update to version 2.7.2 or later to resolve the issue. As a temporary workaround, consider avoiding the use of tf.random.gamma with large input shapes and rates until a patch is available.
Exploitability
Exploit
Fix
Impacts
Researchers
Vendors
Affected products
Weakness enumeration
Related identifiers
GHSA-MV8M-8X97-937Q
BIT-TENSORFLOW-2022-36004
OPENSUSE-SU-2024:12355-1
PYSEC-2026-1022
PYSEC-2026-3218
PYSEC-2026-3354
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