Per one tech forum this week
Stop spreading misinformation.
This is a most excellent place for technology news and articles.
Per one tech forum this week
Stop spreading misinformation.
To quote the most salient post
The app doesn't provide client-side scanning used to report things to Google or anyone else. It provides on-device machine learning models usable by applications to classify content as being spam, scams, malware, etc. This allows apps to check content locally without sharing it with a service and mark it with warnings for users.
Which is a sorely needed feature to tackle problems like SMS scams
if the cellular carriers were forced to verify that caller-ID (or SMS equivalent) was accurate SMS scams would disappear (or at least be weaker). Google shouldn't have to do the job of the carriers, and if they wanted to implement this anyway they should let the user choose what service they want to perform the task similar to how they let the user choose which "Android system WebView" should be used.
Carriers don't care. They are selling you data. They don't care how it's used. Google is selling you a phone. Apple held down the market for a long time for being the phone that has some of the best security. As an android user that makes me want to switch phones. Not carriers.
Why do you need machine learning for detecting scams?
Is someone in 2025 trying to help you out of the goodness of their heart? No. Move on.
If you want to talk money then it is in businesses best interest that money from their users is being used on their products, not being scammed through the use of their products.
Secondly machine learning or algorithms can detect patterns in ways a human can't. In some circles I've read that the programmers themselves can't decipher in the code how the end result is spat out, just that the inputs will guide it. Besides the fact that scammers can circumvent any carefully laid down antispam, antiscam, anti-virus through traditional software, a learning algorithm will be magnitudes harder to bypass. Or easier. Depends on the algorithm
Blaming the victim solves nothing.
Scamming is a rapidly growing industry that is becoming more professional and specialized all the time. Anyone can be scammed.
If the app did what op is claiming then the EU would have a field day fining google.
SafetyCore Placeholder so if it ever tries to reinstall itself it will fail due to signature mismatch.
I struggle with GitHub sometimes. It says to download the apk but I don't see it in the file list. Anyone care to point me in the right direction?
There's an app called obtainium that let's you link the main page of github apps and manages both the download, the instalation and the updates of those apps.
Great if you want the latest software directly from the source.
Google says that SafetyCore “provides on-device infrastructure for securely and privately performing classification to help users detect unwanted content
Cheers Google but I'm a capable adult, and able to do this myself.
Thnx for this, just uninstalled it, google are arseholes
People don't seem to understand the risks presented by normalizing client-side scanning on closed source devices. Think about how image recognition works. It scans image content locally and matches to keywords or tags, describing the person, objects, emotions, and other characteristics. Even the rudimentary open-source model on an immich deployment on a Raspberry Pi can process thousands of images and make all the contents searchable with alarming speed and accuracy.
So once similar image analysis is done on a phone locally, and pre-encryption, it is trivial for Apple or Google to use that for whatever purposes their use terms allow. Forget the iCloud encryption backdoor. The big tech players can already scan content on your device pre-encryption.
And just because someone does a traffic analysis of the process itself (safety core or mediaanalysisd or whatever) and shows it doesn't directly phone home, doesn't mean it is safe. The entire OS is closed source, and it needs only to backchannel small amounts of data in order to fuck you over.
Remember the original justification for clientside scanning from Apple was "detecting CSAM". Well they backed away from that line of thinking but they kept all the client side scanning in iOS and Mac OS. It would be trivial for them to flag many other types of content and furnish that data to governments or third parties.
Gimme Linux phone, I’m ready for it.
if there was something that could run android apps virtualized, I'd switch in a heartbeat
Waydroid?
To be clear, I haven't used it at all and have no idea how well it works.
I gave it a run on Ubuntu touch with a fair phone like 8 months ago... It was still pretty rough then.
More information: It's been rolling out to Android 9+ users since November 2024 as a high priority update. Some users are reporting it installs when on battery and off wifi, unlike most apps.
App description on Play store: SafetyCore is a Google system service for Android 9+ devices. It provides the underlying technology for features like the upcoming Sensitive Content Warnings feature in Google Messages that helps users protect themselves when receiving potentially unwanted content. While SafetyCore started rolling out last year, the Sensitive Content Warnings feature in Google Messages is a separate, optional feature and will begin its gradual rollout in 2025. The processing for the Sensitive Content Warnings feature is done on-device and all of the images or specific results and warnings are private to the user.
Description by google Sensitive Content Warnings is an optional feature that blurs images that may contain nudity before viewing, and then prompts with a “speed bump” that contains help-finding resources and options, including to view the content. When the feature is enabled, and an image that may contain nudity is about to be sent or forwarded, it also provides a speed bump to remind users of the risks of sending nude imagery and preventing accidental shares. - https://9to5google.com/android-safetycore-app-what-is-it/
So looks like something that sends pictures from your messages (at least initially) to Google for an AI to check whether they're "sensitive". The app is 44mb, so too small to contain a useful ai and I don't think this could happen on-phone, so it must require sending your on-phone data to Google?
I guess the app then downloads the required models
Google says that SafetyCore “provides on-device infrastructure for securely and privately performing classification to help users detect unwanted content. Users control SafetyCore, and SafetyCore only classifies specific content when an app requests it through an optionally enabled feature.”
GrapheneOS — an Android security developer — provides some comfort, that SafetyCore “doesn’t provide client-side scanning used to report things to Google or anyone else. It provides on-device machine learning models usable by applications to classify content as being spam, scams, malware, etc. This allows apps to check content locally without sharing it with a service and mark it with warnings for users.”
But GrapheneOS also points out that “it’s unfortunate that it’s not open source and released as part of the Android Open Source Project and the models also aren’t open let alone open source… We’d have no problem with having local neural network features for users, but they’d have to be open source.” Which gets to transparency again.
The app can be found here: https://play.google.com/store/apps/details?id=com.google.android.safetycore
The app reviews are a good read.
Thanks for the link, this is impressive because this really has all the trait of spyware; apparently it installs without asking for permission ?
Yup, heard about it a week or two ago. Found it installed on my Samsung phone, it never asked for permissions or gave any info that it was added to my phone.
Apparently I'm a beta tester? How, what? Thanks for the link!
laughs in GrapheneOS
The countdown to Android's slow and painful death is already ticking for a while.
It has become over-engineered and no longer appealing from a developer's viewpoint.
I still write code for Android because my customers need it - will be needing for a while - but I've stopped writng code for Apple's i-things and I research alternatives for Android. Rolling my own environment with FOSS components on top of Raspbian looks feasible already. On robots and automation, I already use it.