A series of YouTube videos are pointing out a flaw that could allow users to access photos on an iPhone without entering in a passcode. This requires physical access to the device, and Siri on the lock screen needs to be enabled.
Source: This Weird Trick Apparently Lets You Bypass Any iPhone’s Lock Screen
It allows you to access the contacts and photos
The US Secret Service is tasked with keeping the President and members of his family safe. But newly released documents show that the agency has had trouble keeping tabs on its own equipment. Since 2001, the agency has lost at least 1,024 computers, 736 mobile phones, and 121 guns.
Judicial Watch obtained the numbers through a Freedom of Information Act (FOIA) request filed in January. The Secret Service released the numbers this week, which is broken down into different categories of lost and stolen equipment. Of the 1,024 total computers lost or stolen, the Secret Service has misplaced 744 laptops, 258 desktops, and 22 tablets.
Source: The Secret Service Has Lost 1,024 Computers Since 2001
I have no idea how many personnel the US secret Service has, so can’t say if this is a lot or a little.
hree has suffered a massive data breach in which the personal information and contact details of millions of customers could have been accessed. It is believed to one of the largest hacks of its kind to affect people living in Britain.
Here’s everything you need to know about the hack.
What happened?UK-based cyber criminals managed to gain access to the upgrade database in Three’s computer system.
The database contains the personal information of those who are eligible for an upgrade, but it is not clear exactly how many customers this includes. The company has not outlined whether the system includes those who have previously upgraded or historic customers that have left the network.
Attackers allegedly accessed the database using stolen employee credentials, which allowed them to login to the system without Three noticing. Once in, they tricked it into sending high-end upgrade handsets to an address where they could intercept them.
Three has not said whether the accessed customer data was also stolen.
What customer details did they access?Three has confirmed that the data accessed included names, phone numbers, addresses, dates of birth, and some email addresses.
Source: Three Mobile hack: how to protect yourself if you’ve been affected
Apple now has a repair program in place to address the so-called “Touch Disease” problem that the iPhone repair community first raised in August. Over time, some iPhone 6 Plus users reported that the touchscreen on the phones became unresponsive, with a flickering gray bar eventually showing up at the top of the screen.
Dubbed Touch Disease by the repair vendor iFixit, the repair was relatively simple, but it required opening up the phone and soldering the two chips that cover the touch responsiveness on the iPhone. Apple Stores and Certified Apple Repair techs didn’t have the equipment for a fix, which led many users paying for more expensive logic board replacements.
Now Apple has an official program in place
Source: Apple Will Fix ‘Touch Disease’ on Your iPhone for Just $150
Apple is blaming touch disease on dropping the phone on hard surfaces, but given the prevalence of the problem, it sounds like it’s shifting the blame, which it has to, considering If you’re having that problem and your phone isn’t cracked or broken, Apple says it will repair it for $150.
Using a deep convolutional neural network with residual connections, Miles Deep quickly classifies each second of a pornographic video into 6 categories based on sexual act with 95% accuracy. Then it uses that classification to automatically edit the video. It can remove all the scenes not containing sexual contact, or edit out just a specific act.
Unlike Yahoo’s recently released NSFW model, which uses a similar architecture, Miles Deep can tell the difference between nudity and various explicit sexual acts. As far as I know this is the first and only public pornography classification or editing tool.
Source: GitHub – ryanjay0/miles-deep: Deep Learning Porn Video Classifier/Editor with Caffe