CVE-2022-21728 Information

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batch_dim and can result in a heap OOB read. There is a check to make sure the value of batch_dim does not go over the rank of the input but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python’s negative indexing (i.e. indexing from the end of the array) however if the value is too negative then the implementation of Dim would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1 TensorFlow 2.6.3 and TensorFlow 2.5.3 as these are also affected and still in supported range.

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

Reference

https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995 https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671 https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8

Attack Complexity

LOW

Privileges Required

LOW

User Interaction Required

LOW

Scope

NONE

Confidentiality Impact

UNCHANGED

Integrity Impact

HIGH

Availability Impact

NONE

Base Score

HIGH

Base Severity

8.1