2.1
CVSSv2

CVE-2021-37637

Published: 12/08/2021 Updated: 18/08/2021
CVSS v2 Base Score: 2.1 | Impact Score: 2.9 | Exploitability Score: 3.9
CVSS v3 Base Score: 5.5 | Impact Score: 3.6 | Exploitability Score: 1.8
VMScore: 187
Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P

Vulnerability Summary

TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to `tf.raw_ops.CompressElement`. The [implementation](github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/data/compression_utils.cc#L34) was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Vulnerability Trend

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google tensorflow

google tensorflow 2.5.0

google tensorflow 2.6.0

Vendor Advisories

In TensorFlow before version 260 it is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tfraw_opsCompressElement The implementation was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid ...