Aaron Gabbert

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52 Following
5 Posts
Infosec and tech, with a bit of sports mixed in (#COYS, #AllForCity)
Websitehttps://gabbert.me
@marcoarment - as someone who struggles with a lot of the things you mentioned during the after show (ESPECIALLY delegation), I really admire what you’re doing with the restaurant. To see you take on a challenge like that, knowing all of the new and unknowns that will come with it, is really cool. Listening to the segment made me stressed but warm inside at the same time, and I’m excited to hear more about it through the show ☺️ Best wishes!

@atpfm

On the topic of screen recording permissions and its abuse (or lack thereof), Infostealer malware is one of the more prominent types of malware we see on macOS. Here’s a recent example that has the ability to take screenshots:

https://www.kandji.io/blog/malware-cuckoo-infostealer-spyware

These infostealers of course typically prey on unsuspecting users and, being on macOS, tend to get much less coverage than their Windows counterparts. But there are plenty of interesting delivery methods that have made these more prominent in recent years, such as SEO poisoning, malicious advertisements, or masquerading as legitimate sys admin tooling (the most scary vector in my opinion).

Malware: Cuckoo Behaves Like Cross Between Infostealer and Spyware

Kandji's threat research team has discovered a piece of malware that combines aspects of an infostealer and spyware. Here's how it works.

@siracusa @atpfm

My Apple Photos duplicate experience was a bit distressing. It seems to be doing some kind of hashing/abstraction on the photos to verify whether they are duplicates, and as such it won't pick up on very slight differences in pictures. For example, there were some "duplicate" pictures taken on a tripod from a distance, one of which had my wife and one of which had both of us. She was sitting in the exact same position in all of them, and apparently me joining her in the picture did not change the abstraction value of it enough for Photos to recognize them as different.

There weren't many cases of this but I think I may have lost at least a couple of honeymoon photos along the way due to me trusting the process before going all in.

@siracusa @atpfm
My experience with Apple Music Sing lines up with the ML explanation. When dropping the vocals as low as possible (which is not zero on all tracks I’ve seen), I still heard the occasional breath in or “throat sound” at full volume. It also seems to distort some keyboard/guitar sounds that fall within vocal frequencies.
However, I’ve also noticed that not all AM Sing tracks are created equal - on newer tracks, especially those with Atmos, the vocal volume adjustment is cleaner and the lyric prompts are more accurate.