CVEvulnerability
CVE-2022-35996
7.5 HIGH
Official page ↗
- Status
- Modified
- Published
- 2022-09-16
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 5.9 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- CVSS 3.1 ([email protected])
- 7.5 HIGH — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-369
Description
TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected configurations
• google tensorflow (< 2.7.2)
• google tensorflow (>= 2.8.0 < 2.8.1)
• google tensorflow (>= 2.9.0 < 2.9.1)
• google tensorflow 2.10
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37 Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37 Third Party Advisory