Vulnerability Database
289,871
Total vulnerabilities in the database
CVE-2021-37670
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.UpperBound. The implementation does not validate the rank of sorted_input argument. A similar issue occurs in tf.raw_ops.LowerBound. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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 |