CVE-2021-37668
Division by zero in TensorFlow Lite `tf.raw_ops.UnravelIndex`
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.
How to fix CVE-2021-37668
To remediate CVE-2021-37668, upgrade the affected package to a fixed version below.
- —upgrade to 2.3.4 or later
- —upgrade to 2.3.4 or later
- —upgrade to a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 or later
- —upgrade to a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 or later
- —upgrade to 2.3.4 or later
- —upgrade to a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 or later
- —upgrade to 2.3.4 or later
Is CVE-2021-37668 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1
- from 0, < 2.3.4
- from 0, < a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 2.3.4
- from 0, < a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 2.3.4
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |