CVE-2021-41216
Assigner: GitHub_M
Published: 2021-11-05T22:10:17
State: PUBLISHED
affected: product: tensorflow
vendor: tensorflow
versions: status: affected
version: >= 2.6.0, < 2.6.1
status: affected
version: >= 2.5.0, < 2.5.2
status: affected
version: < 2.4.4
descriptions: value: TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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.
metrics: cvssV3_1: attackComplexity: LOW
attackVector: LOCAL
availabilityImpact: HIGH
baseScore: 5.5
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: LOW
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
version: 3.1
problemTypes: descriptions: cweId: CWE-120
description: CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
type: CWE
source: advisory: GHSA-3ff2-r28g-w7h9
discovery: UNKNOWN
title: Heap buffer overflow in `Transpose`