CVE-2021-41221
Summary
| CVE | CVE-2021-41221 |
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2021-11-05 23:15:00 UTC |
| Updated | 2021-11-10 13:19:00 UTC |
| Description | TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. |
NVD Known Affected Configurations (CPE 2.3)
References
| Reference | Source | Link | Tags |
|---|
| Fix access to undefined memory during shape inference of Cudnn*. · tensorflow/tensorflow@af5fceb · GitHub |
MISC |
github.com |
|
| Access to invalid memory during shape inference in `Cudnn*` ops · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
|
| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 980186 Python (pip) Security Update for tensorflow-gpu (GHSA-cqv6-3phm-hcwx)