CVEvulnerability
CVE-2021-37668
5.5 MEDIUM
Official page ↗
- Status
- Modified
- Published
- 2021-08-12
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 3.1 ([email protected])
- 5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 2.0 ([email protected])
- 2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
- Weaknesses
- CWE-369
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 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 configurations
• google tensorflow (>= 2.3.0 < 2.3.4)
• google tensorflow (>= 2.4.0 < 2.4.3)
• google tensorflow 2.5.0
• google tensorflow 2.6.0
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/commit/a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2wmv-37vq-52g5 Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2wmv-37vq-52g5 Third Party Advisory