Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29580Undefined behavior and `CHECK`-fail in `FractionalMaxPoolGrad`
Low 2.5
In plain English
A low-severity security flaw 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 9% 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. The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. 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-x8h6-xgqx-jqgp |
| PyPI | tensorflow | 2.4.2 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow | 2.1.4 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-217 |
| PyPI | tensorflow | 2.2.3 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-508 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-x8h6-xgqx-jqgp |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-706 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-x8h6-xgqx-jqgp |
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-908 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L