Vulnerability Database
289,871
Total vulnerabilities in the database
CVE-2021-37674
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 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.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.4.0 | 2.4.3 |
| google / tensorflow | 2.6.0-rc2 | 2.6.0-rc2.x |
| google / tensorflow | 2.6.0-rc1 | 2.6.0-rc1.x |
| google / tensorflow | 2.6.0-rc0 | 2.6.0-rc0.x |
| google / tensorflow | 2.3.0 | 2.3.4 |
| google / tensorflow | 2.5.0 | 2.5.0.x |
tensorflow
|
- | 2.3.4 |
|
tensorflow
|
2.4.0 | 2.4.3 |
|
tensorflow
|
2.5.0 | 2.5.0.x |
|
tensorflow
|
2.5.0 | 2.5.1 |
|
tensorflow-cpu
|
- | 2.3.4 |
|
tensorflow-cpu
|
2.4.0 | 2.4.3 |
|
tensorflow-cpu
|
2.5.0 | 2.5.0.x |
|
tensorflow-cpu
|
2.5.0 | 2.5.1 |
|
tensorflow-gpu
|
- | 2.3.4 |
|
tensorflow-gpu
|
2.4.0 | 2.4.3 |
|
tensorflow-gpu
|
2.5.0 | 2.5.0.x |
|
tensorflow-gpu
|
2.5.0 | 2.5.1 |