CVE-2022-21727
Assigner: GitHub_M
Published: 2022-02-03T11:07:40
State: PUBLISHED
affected: product: n/a
vendor: n/a
versions: status: affected
version: n/a
descriptions: value: Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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.
metrics: cvssV3_1: attackComplexity: LOW
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 7.6
baseSeverity: HIGH
confidentialityImpact: LOW
integrityImpact: LOW
privilegesRequired: LOW
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
version: 3.1
problemTypes: descriptions: description: n/a
type: text
source: advisory: GHSA-c6fh-56w7-fvjw
discovery: UNKNOWN
title: Integer overflow in Tensorflow