PT-2022-16083 · Google · Tensorflow
Faysal Hossain Shezan
·
Published
2022-02-03
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Updated
2024-03-06
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CVE-2022-23567
CVSS v4.0
7.1
High
| Vector | AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.8.0
TensorFlow versions 2.7.1 and earlier
TensorFlow versions 2.6.3 and earlier
TensorFlow versions 2.5.3 and earlier
Description
The implementations of
Sparse*Cwise* ops in TensorFlow are vulnerable to integer overflows. These can be used to trigger large allocations, resulting in OOM-based denial of service, or CHECK-fails when building new TensorShape objects, leading to assert failures-based denial of service. The issue arises from missing validation on the shapes of the input tensors and directly constructing a large TensorShape with user-provided dimensions.Recommendations
For versions prior to 2.8.0, update to TensorFlow 2.8.0 or later.
For versions 2.7.1 and earlier, update to TensorFlow 2.7.1 or later.
For versions 2.6.3 and earlier, update to TensorFlow 2.6.3 or later.
For versions 2.5.3 and earlier, update to TensorFlow 2.5.3 or later.
As a temporary workaround, consider disabling the
Sparse*Cwise* ops until a patch is available.
Restrict access to the TensorShape constructor to minimize the risk of exploitation.
Avoid using user-provided dimensions when constructing a TensorShape object until the issue is resolved.Exploit
Fix
Integer Overflow
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow