CVE-2021-29540
14.05.2021, 20:15
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. 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.
| Vendor | Product | Version |
|---|---|---|
| tensorflow | 𝑥 < 2.1.4 | |
| tensorflow | 2.2.0 ≤ 𝑥 < 2.2.3 | |
| tensorflow | 2.3.0 ≤ 𝑥 < 2.3.3 | |
| tensorflow | 2.4.0 ≤ 𝑥 < 2.4.2 |
𝑥
= Vulnerable software versions
Common Weakness Enumeration
- CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')The program copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow.
- CWE-787 - Out-of-bounds WriteThe software writes data past the end, or before the beginning, of the intended buffer.
References