U tweetove putem weba ili aplikacija drugih proizvođača možete dodati podatke o lokaciji, kao što su grad ili točna lokacija. Povijest lokacija tweetova uvijek možete izbrisati. Saznajte više
What if you could magically rank strings based on their maliciousness?
Now you can: https://github.com/fireeye/stringsifter/ … 
We open sourced #StringSifter today at @DerbyCon.
Built for the blue team, probably useful for red 
WATCH @phtully @iAmThePr0blem's talk: https://youtu.be/pLiaVzOMJSk
Such a sweet collab between the awesome data science team and @mikesiko's world class #FLARE crew. We all win.
They previewed their approach to this problem earlier in the year - with technical details on the machine learning model https://www.fireeye.com/blog/threat-research/2019/05/learning-to-rank-strings-output-for-speedier-malware-analysis.html …
Now go watch the talk!
Saw the talk looks pretty nice. I'll probably update our cuckoo infra to include this soon and start testing.
What the heck is all of the sound feedback coming from :( Didn't get more than a few minuets into it before it got to annoying.
So is this strings with metadata?
Has words like TABLE or DROP in it -> EVIL STRING DANGER!
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.
