Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37668Division by zero in TensorFlow Lite `tf.raw_ops.UnravelIndex`
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 denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. 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-2021-290 |
| PyPI | tensorflow | 2.3.4 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow | 2.4.3 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow | 2.5.1 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-581 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-779 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-2wmv-37vq-52g5 |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-2wmv-37vq-52g5 |
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