
9to5Mac Safety Chew is solely delivered to you by Mosyle, the one Apple Unified Platform. Making Apple units work-ready and enterprise-safe is all we do. Our distinctive built-in strategy to administration and safety combines state-of-the-art Apple-specific safety options for totally automated Hardening & Compliance, Subsequent Era EDR, AI-powered Zero Belief, and unique Privilege Administration with essentially the most highly effective and fashionable Apple MDM in the marketplace. The result’s a completely automated Apple Unified Platform at present trusted by over 45,000 organizations to make hundreds of thousands of Apple units work-ready with no effort and at an reasonably priced price. Request your EXTENDED TRIAL at present and perceive why Mosyle is every part it’s worthwhile to work with Apple.
Amid the heap of an EU high-quality levied on X earlier this month, Elon Musk introduced that the platform’s whole suggestion algorithm would go open supply. Seemingly to assist cool the regulatory waters by offering better transparency into how the social media large organizes customers’ timelines.
Often, IT professionals would see information round one thing going open supply, smile, and transfer on with their lives. However final week, I got here throughout an fascinating thread on none aside from X that explains how this transfer can truly expose nameless alt accounts via “behavioral fingerprints”…for higher or worse.
An OSINT aficionado beneath the deal with @Harrris0n on X lately posted about his findings whereas digging via the platform’s now-open-source suggestion code. What he discovered is a bit terrifying should you care about privateness or should you function a whole community of bot accounts.
Buried in X’s repo was one thing referred to as the “Person Motion Sequence.”
This isn’t a mere log both. It’s a transformer context that encodes your whole behavioral historical past on the platform. It tracks the particular milliseconds you pause to scroll, the kind of accounts that set off a block, the particular taste of content material you’re into, and the precise second you work together with it. It represents 1000’s of particular person information factors collected by the point you see your first cat submit.
Now, right here’s the place it will get fascinating. X makes use of this sequence to foretell engagement (principally serving essentially the most related content material to maintain you on the platform), whereas concurrently making a high-fidelity behavioral fingerprint.
Harrison discovered that should you run this encoding on a identified account after which examine it in opposition to 1000’s of nameless accounts utilizing one thing the repo calls “Candidate Isolation,” you get matches. Abnormally excessive matches. He even laid out the particular recipe wanted to construct this de-anonymization software, and the barrier to entry right here could be very low.
Based on his thread, all somebody wants is the motion sequence encoder (which the X repo simply handed over), an embedding similarity search, and just a little little bit of luck (lol). The one lacking piece for most individuals is the coaching information of confirmed alt accounts, however Harrison notes he already has that from years of menace actor monitoring.
Theoretically, you may map that very same behavioral fingerprint from a public X person to an nameless one, or probably even cross-platform to accounts on Reddit and Discord. It goes to point out you can simply change your username, but it surely’s a lot tougher to vary your habits.
So, is a burner account really nameless? I’ll allow you to resolve.
I wished to share this thread right here on Safety Chew as a result of it’s a sobering reminder that these algorithms typically know you higher than you understand your self. And that digital model of you remains to be weak.
Subscribe to the 9to5Mac Safety Chew podcast for biweekly deep dives and interviews with main Apple safety researchers and specialists:
FTC: We use revenue incomes auto affiliate hyperlinks. Extra.




