Google Chrome has built-in phishing detection that scans pages to see if they match known fake or malicious sites (using more than the URL, as scammers rotate them faster than they can). follow). And, now, this technology is improving. Google also says that in Chrome 102 it will use machine learning that runs entirely in the browser (without sending data back to Google or anywhere else) to help identify websites that are making permission requests spam for notifications and silence them before they appear.
As Google explains, “To further improve the browsing experience, we’re also evolving the way people interact with web notifications. On the one hand, page notifications help deliver updates from sites that interest you; on the other hand, notification permission prompts can become a nuisance. To help people browse the web with minimal disruption, Chrome predicts when permission prompts are unlikely to be granted and silences those prompts. In the next version of Chrome, we’re launching an ML model that makes these predictions entirely on-device.
In a future release, Google plans to use the same technology to adjust the Chrome toolbar in real time, making different buttons like share icons or voice search appear when and where you’re likely to. use them, without adding any additional tracking that home phones do to Google or anyone else. And if you prefer to choose your buttons manually, that will still work too.
Last summer, Google announced performance improvements as part of the Chrome M92 update to reduce the time to calculate phishing classification results from 1.8 seconds to 100 milliseconds. A blog post today reports that in March it updated the machine learning model to identify 2.5 times more sites that could be phishing attacks or trying to provide malicious downloads. Google also says it’s updated the browser-based machine learning technology behind its Journeys to take you on a journey through old searches so that now it’ll determine whether the language of the page should be translated.