@hackerfren Thank you very much for this nice review of your book! If you have any questions about the history or reverse engineering sections, please feel free to message me at any time.
I'm super excited to say that Google's Android Malware Research team is hiring again! We're looking for a mix of 4 senior and junior engineers who want to join our team in the Bangalore office!
Apply at https://t.co/U14XsszR4w
@Farenain@0xjet In general I feel like OTAs are in a much better shape than they were - say - 6 years ago (still not great) and there's really only one vendor that I'm really skeptical about right now.
Our book, The Android Malware Handbook: Detection and Analysis by Human and Machine, is now also available on Amazon: https://t.co/Ybwg7ouCit . The GitHub repository with malware files to follow along is also published at https://t.co/FWA9kgE9nY
This was the last missing bit for this first edition and I'm looking forward to all the feedback that people have for what we could do better in a second edition. :)
Hey look, the author copies have arrived! The book is real!
I'll share some stories and thoughts about the book over the next few days over at https://t.co/5qo3ThlArZ
What do you get when you bring together an all-star team of ML and security experts to write an ingenious guide to detecting & analyzing major threats facing the Android ecosystem? You get The Android Malware Handbook. Preorder w/ code BADROBOT for 25% off
https://t.co/m47MktkCun
@lolzareverser Yeah, the "Dynamic Analysis" chapter makes good use of Frida, from basics to writing several custom scripts.
Manifest analysis is discussed throughout the book, in the chapters about static analysis, dynamic analysis, and ML.
@Triplesit0 Depends a bit on what related prior knowledge you already. Know Android? Or malware from other platforms? Reverse engineering? ML? Anything helps really.
I'd say the first few chapters are very beginner-friendly but the last few chapters on ML have a steep learning curve.