Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29576Heap buffer overflow in `MaxPool3DGradGrad`
Low 2.5
In plain English
A low-severity memory corruption 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 11% 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.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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-7cqx-92hp-x6wh |
| PyPI | tensorflow | 2.4.2 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow | 2.1.4 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-213 |
| PyPI | tensorflow | 2.2.3 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-504 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-7cqx-92hp-x6wh |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-702 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-7cqx-92hp-x6wh |
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-119 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L