TGViewer
Channel Public Channel
Alaid TechThread

Alaid TechThread

@offensive_thread

Vulnerability discovery, threat intelligence, reverse engineering, AppSec
Subscribers
1.14K
Photos
7
Videos
2
Links
1.4K

Showing posts older than #413 · Back to latest

Older Posts 20 shown
Post #409 43
pac17.pdf963.8 KB
ExploitMeter: Combining #Fuzzing with Machine Learning for Automated Evaluation of Software Exploitability
Post #401 7

Forwarded from Noise Security Bit

Supply Chain вектор огромен, всегда нужно помнить об этом. Не используйте рендомные зарядки для телефонов и прочего в публичных местах или от случайных людей (кстати это касается их покупки тоже 😜). Даже зарядки для лэптопа могут быть не так безобидны, как кажется на первый взгляд, особенно, если это USB-C 😱

https://twitter.com/_mg_/status/949684949614907395?s=21
Twitter _MG_ BadUSB Cable #2. HID attack through an Apple MacBook USB-C charger. Great for shared workspaces! Build info coming this month. Still working out some things. These cables work on just about any device with a USB port (Mac/Win/Linux, phones too) https://t.co/b6254FvpLY
Post #399 38
Доступен бета-тест отладчика ядра XNU для владельцев лицензий IDA Pro. Для работы требуетс достуи к сервисам Corellium.
Post #398 40
We have seen machine learning is not magic, a work of featuring must be done including the of the dataset.
Here, our dataset is very heterogeneous with a big cluster of EquationGroup, and others clusters with few malwares
The machine learning is useful to make a first filter to clusterize a big dataset because the algorithms have been thought to be scalable contrary to algorithms which compare signatures. (ssdeep,impfuzzy,machoc...)
Older posts →
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →