Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37677Missing validation in shape inference for `Dequantize` in TensorFlow
Medium 5.5
In plain English
A medium-severity improper input validation 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 0.1% (higher than 4% 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 the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. 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-2021-299 |
| PyPI | tensorflow | 2.3.4 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow | 2.4.3 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow | 2.5.1 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-590 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-788 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-qfpc-5pjr-mh26 |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-qfpc-5pjr-mh26 |
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-20 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H