CVE-2022-35996
HIGHTensorFlow 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...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
Severity & Risk
Recommended Action
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD 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.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H References
- github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37 3rd Party
- github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37 3rd Party