Google has entered to clarify that the recently submitted Android Safetycore app is not performing any Scan on the client’s side content.
“Android provides a lot of conspiracy protection that protects users from threats such as malicious software, spam and abuse protection, as well as protection against scam while maintaining users’ privacy and supporting users control over their data,” the company spoke Hacker News News If you refer to the comments.
“Safetycore is a new Google System System System for Android 9+ devices that provides infrastructure on your device for reliable and private classification to help users discover unwanted content. Users control Safetycore, and Safetycore only classifies specific content when the app requires it via it Included feature. “
Safetycore (the name of the package “com.google.android.safetycore” was For the first time submitted by Google in October 2024 as part of A set of security measures Designed to combat scams and other content that is considered sensitive in the Google Messages app for Android.
A feature that requires 2 GB of RAM is unfolding on all Android devices, running Android version 9, and later those who run Android Go, an easy-to-level operating system operating system.
On the other hand, scan on the client’s side (CSS) is regarded as an alternative approach to provide data analysis to the motto as opposed to the weakening of encryption or adding the back to existing systems. However, this method caused serious privacy problems, as it has matured abuse, forcing the service provider to look for materials outside the originally agreed field.
In some ways, Google’s sensitive warnings for app messages are much similar to Apple The security function of communication The IMessage, which uses machine training on the device to analyze photos and videos, and determine whether the photo or video appears to contain nakedness.
GRAPHENOS’s service service in the pillar Total on X, repeats that Safetycore does not provide customer scan and is mainly designed to offer machine models for the device that can be used by other applications to classify contents as spam, scam or malicious software.
“Classification of such things is not the same as an attempt to identify illegal content and report on its service,” the Grafces said. “It greatly violates people’s privacy in several ways, and false positives still exist. This is not what it is, and it doesn’t fit.”
