PT-2021-23194 · Google · Tensorflow
Published
2021-11-05
·
Updated
2024-03-06
·
CVE-2021-41221
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 2.7.0
TensorFlow versions 2.6.1 and earlier
TensorFlow versions 2.5.2 and earlier
TensorFlow versions 2.4.4 and earlier
Description
The shape inference code for the
Cudnn* operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the input, input h, and input c parameters are not validated, but code assumes they have certain values.Recommendations
For versions prior to 2.7.0, update to TensorFlow 2.7.0 or later.
For versions 2.6.1 and earlier, update to TensorFlow 2.6.1 or later.
For versions 2.5.2 and earlier, update to TensorFlow 2.5.2 or later.
For versions 2.4.4 and earlier, update to TensorFlow 2.4.4 or later.
As a temporary workaround, consider restricting the use of the
Cudnn* operations until a patch is available.
Restrict access to the input, input h, and input c parameters to minimize the risk of exploitation.Exploit
Fix
Buffer Overflow
Memory Corruption
Found an issue in the description? Have something to add? Feel free to write us 👾
Related Identifiers
Affected Products
Tensorflow