Vulnerability Database
289,784
Total vulnerabilities in the database
CVE-2021-37644
TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to num_elements list argument of tf.raw_ops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The implementation calls std::vector.resize() with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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 |