Vulnerabilities > CVE-2021-37674 - Improper Validation of Specified Quantity in Input vulnerability in Google Tensorflow
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](https://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.
Vulnerable Configurations
| Part | Description | Count |
|---|---|---|
| Application | 39 |
Common Weakness Enumeration (CWE)
References
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-068.md
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-068.md
- https://github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475
- https://github.com/tensorflow/tensorflow/commit/136b51f10903e044308cf77117c0ed9871350475
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7ghq-fvr3-pj2x
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7ghq-fvr3-pj2x