Vulnerability Database
289,784
Total vulnerabilities in the database
CVE-2021-29582
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.raw_ops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the min_range and max_range tensors in parallel but fails to check that they have the same shape. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.4.0 | 2.4.2 |
| google / tensorflow | 2.3.0 | 2.3.3 |
| google / tensorflow | 2.2.0 | 2.2.3 |
| google / tensorflow | - | 2.1.4 |
tensorflow
|
- | 2.1.4 |
|
tensorflow
|
2.2.0 | 2.2.3 |
|
tensorflow
|
2.3.0 | 2.3.3 |
|
tensorflow
|
2.4.0 | 2.4.2 |
|
tensorflow-cpu
|
- | 2.1.4 |
|
tensorflow-cpu
|
2.2.0 | 2.2.3 |
|
tensorflow-cpu
|
2.3.0 | 2.3.3 |
|
tensorflow-cpu
|
2.4.0 | 2.4.2 |
|
tensorflow-gpu
|
- | 2.1.4 |
|
tensorflow-gpu
|
2.2.0 | 2.2.3 |
|
tensorflow-gpu
|
2.3.0 | 2.3.3 |
|
tensorflow-gpu
|
2.4.0 | 2.4.2 |