Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37660Division by 0 in inplace operations in TensorFlow
Medium 5.5
In plain English
A medium-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 5% 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. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-282 |
| PyPI | tensorflow | 2.3.4 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow | 2.4.3 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow | 2.5.1 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-573 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-771 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-cm5x-837x-jf3c |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-cm5x-837x-jf3c |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4 |
Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H