AI Threat Alert
CVE-2022-35999
HIGHTensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with...
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. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. 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/27a65a43cf763897fecfa5cdb5cc653fc5dd0346 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw 3rd Party
- github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw 3rd Party