CVE-2022-35952

Summary

CVECVE-2022-35952
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-09-16 20:15:00 UTC
Updated2022-09-20 18:07:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. 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.

Risk And Classification

Problem Types: CWE-617

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow 2.10 rc0 All All
Application Google Tensorflow 2.10 rc1 All All
Application Google Tensorflow 2.10 rc2 All All
Application Google Tensorflow 2.10 rc3 All All

References

ReferenceSourceLinkTags
tensorflow/batch_kernels.cc at 769eddaf479c8debead9a59a72617d6ed6f0fe10 · tensorflow/tensorflow · GitHub MISC github.com
`CHECK` failures in `UnbatchGradOp` · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Fix security vulnerability with UnbatchGradKernel · tensorflow/tensorflow@5f945fc · GitHub MISC github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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