PT-2021-18293 · Google · Tensorflow
Yakun Zhang
+1
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Published
2021-05-14
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Updated
2024-03-06
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CVE-2021-29542
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/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
An attacker can cause a heap buffer overflow by passing crafted inputs to
tf.raw ops.StringNGrams. This is because the implementation fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements. If input is such that num tokens is 0, then, for data start index=0 (when left padding is present), the marked line would result in reading data[-1].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 avoiding the use of
tf.raw ops.StringNGrams until a patch is available.Exploit
Fix
Memory Corruption
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Related Identifiers
Affected Products
Tensorflow