187
VMScore

CVE-2021-37674

Published: 12/08/2021 Updated: 26/06/2023
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. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. 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 2.6.0

google tensorflow 2.5.0

Vendor Advisories

In TensorFlow before version 260 an attacker can trigger a denial of service via a segmentation fault in tfraw_opsMaxPoolGrad caused by missing validation The implementation misses some validation for the orig_input and orig_output tensors The fixes for CVE-2021-29579 were incomplete ...