PT-2021-18304 · Google · Tensorflow
Published
2021-05-14
·
Updated
2024-03-06
·
CVE-2021-29553
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
An attacker can read data outside of bounds of a heap allocated buffer in
tf.raw ops.QuantizeAndDequantizeV3. This issue arises because the implementation does not validate the value of the user-supplied axis attribute before using it to index in the array backing the input argument.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
tf.raw ops.QuantizeAndDequantizeV3 function until a patch is available.
Restrict access to the axis attribute in the tf.raw ops.QuantizeAndDequantizeV3 function to minimize the risk of exploitation.Exploit
Fix
Out of bounds Read
Found an issue in the description? Have something to add? Feel free to write us 👾
Weakness Enumeration
Related Identifiers
Affected Products
Tensorflow