Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29520Heap buffer overflow in `Conv3DBackprop*`
Low 2.5
In plain English
A low-severity buffer overflow in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 13% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow | 2.4.2 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow | 2.1.4 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-157 |
| PyPI | tensorflow | 2.2.3 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-448 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-wcv5-qrj6-9pfm |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-646 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-wcv5-qrj6-9pfm |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-120 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L