PT-2021-18354 · Google · Tensorflow
Mihaimaruseac
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Published
2021-05-14
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Updated
2024-03-06
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CVE-2021-29603
CVSS v3.1
7.8
High
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.5.0
TensorFlow versions 2.4.2 and earlier
TensorFlow versions 2.3.3 and earlier
TensorFlow versions 2.2.3 and earlier
TensorFlow versions 2.1.4 and earlier
Description
A specially crafted TFLite model could trigger an out-of-bounds write on the heap in the TFLite implementation of
ArgMin/ArgMax. If the axis value is not a value between 0 and NumDimensions(input), then the condition in the if statement is never true, so the code writes past the last valid element of output dims->data.Recommendations
For versions prior to 2.5.0, update to TensorFlow 2.5.0 or later.
For versions 2.4.2 and earlier, update to TensorFlow 2.4.2 or later.
For versions 2.3.3 and earlier, update to TensorFlow 2.3.3 or later.
For versions 2.2.3 and earlier, update to TensorFlow 2.2.3 or later.
For versions 2.1.4 and earlier, update to TensorFlow 2.1.4 or later.
As a temporary workaround, consider restricting the use of the
ArgMin/ArgMax functions until a patch is available.Exploit
Fix
Memory Corruption
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow