The Washington Post is reporting on the FBI’s increasing use of push notification data—”push tokens”—to identify people. The police can request this data from companies like Apple and Google without a warrant. The investigative technique goes back years. Court orders that were issued in 2019 to …
You can find them by searching for OpenAI chatbot warning messages, like: “I’m sorry, I cannot provide a response as it goes against OpenAI’s use case policy.” I hadn’t thought about this before: identifying bots by searching for distinctive bot phrases. [...]
A helpful summary of which US retail stores are using facial recognition, thinking about using it, or currently not planning on using it. (This, of course, can all change without notice.) Three years ago, I wrote that campaigns to ban facial recognition are too narrow. The problem here is …
They’re not that good : Security researchers Jesse D’Aguanno and Timo Teräs write that, with varying degrees of reverse-engineering and using some external hardware, they were able to fool the Goodix fingerprint sensor in a Dell Inspiron 15, the Synaptic sensor in a Lenovo ThinkPad T14, and the …
Interesting article on technologies that will automatically identify people: With technology like that on Mr. Leyvand’s head, Facebook could prevent users from ever forgetting a colleague’s name, give a reminder at a cocktail party that an acquaintance had kids to ask about or help find someone at …
Really interesting “systematization of knowledge” paper : “SoK: The Ghost Trilemma” Abstract: Trolls, bots, and sybils distort online discourse and compromise the security of networked platforms. User identity is central to the vectors of attack and manipulation employed in these contexts. However it has long seemed that, try as it …
A reporter used an AI synthesis of his own voice to fool the voice authentication system for Lloyd’s Bank. [...]
Brian Krebs is reporting on a vulnerability in Experian’s website: Identity thieves have been exploiting a glaring security weakness in the website of Experian, one of the big three consumer credit reporting bureaus. Normally, Experian requires that those seeking a copy of their credit report successfully answer several …
Researchers claim that supposedly anonymous device analytics information can identify users: On Twitter, security researchers Tommy Mysk and Talal Haj Bakry have found that Apple’s device analytics data includes an iCloud account and can be linked directly to a specific user, including their name, date of birth, email …
We’ve always known that phones—and the people carrying them—can be uniquely identified from their Bluetooth signatures, and that we need security techniques to prevent that. This new research shows that that’s not enough. Computer scientists at the University of California San Diego proved in a …
Researchers are using the reflection of the smartphone in the pupils of faces taken as selfies to infer information about how the phone is being used: For now, the research is focusing on six different ways a user can hold a device like a smartphone: with both hands, just …
Interesting Twitter thread on how cell phone metadata can be used to identify and track people who don’t want to be identified and tracked. [...]
This isn’t the first time I’ve received an e-mail like this: Hey! I’ve done my research and looked at a lot of facts and old forgotten archives. I know that you are Satoshi, I do not want to tell anyone about this. I just wanted to …
It’s the eyes : The researchers note that in many cases, users can simply zoom in on the eyes of a person they suspect may not be real to spot the pupil irregularities. They also note that it would not be difficult to write software to spot such errors …
This is probably worth paying attention to: A change to TikTok’s U.S. privacy policy on Wednesday introduced a new section that says the social video app “may collect biometric identifiers and biometric information” from its users’ content. This includes things like “faceprints and voiceprints,” the policy explained …
The person behind the Bitcoin Fog was identified and arrested. Bitcoin Fog was an anonymization service: for a fee, it mixed a bunch of people’s bitcoins up so that it was hard to figure out where any individual coins came from. It ran for ten years. Identifying the …
A mafia fugitive hiding out in the Dominican Republic was arrested when investigators found his YouTube cooking channel and identified him by his distinctive arm tattoos. [...]