CVE-2021-41221

Summary

CVECVE-2021-41221
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-11-05 23:15:00 UTC
Updated2021-11-10 13:19:00 UTC
DescriptionTensorFlow 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.

Risk And Classification

Problem Types: CWE-787

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow 2.7.0 rc0 All All
Application Google Tensorflow 2.7.0 rc1 All All

References

ReferenceSourceLinkTags
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

Legacy QID Mappings

  • 980186 Python (pip) Security Update for tensorflow-gpu (GHSA-cqv6-3phm-hcwx)

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