Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29546Division by 0 in `QuantizedBiasAdd`
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 10% 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. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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-m34j-p8rj-wjxq |
| PyPI | tensorflow | 2.4.2 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow | 2.1.4 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-183 |
| PyPI | tensorflow | 2.2.3 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-474 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-m34j-p8rj-wjxq |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-672 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-m34j-p8rj-wjxq |
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-369 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L