PT-2021-18333 · 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-2021-29582
CVSS v3.1
7.1
High
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:H/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
Due to lack of validation in
tf.raw ops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation accesses the min range and max range tensors in parallel but fails to check that they have the same shape.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 disabling the
tf.raw ops.Dequantize function until a patch is available.
Restrict access to the min range and max range tensors to minimize the risk of exploitation.Exploit
Fix
Out of bounds Read
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Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow