AMAYARA-Lab
APKiD
Our great sponsors
| AMAYARA-Lab | APKiD | |
|---|---|---|
| 1 | 1 | |
| 1 | 1,895 | |
| - | 3.5% | |
| 0.0 | 7.4 | |
| over 1 year ago | 7 days ago | |
| Jupyter Notebook | YARA | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AMAYARA-Lab
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Android Malware Analysis YARA with JupyterLab
アマヤラ (Android Malware Analysis YARA) Lab is a project that provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules. Give a look at the GitHub repo!
APKiD
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What is your opinion about "app packers"? Should Google ban their use?
Turns out a little Googling was my friend, there's already an open source tool to identify most packers, obfuscators, and whatnot: https://github.com/rednaga/APKiD
What are some alternatives?
gds_env - A containerised platform for Geographic Data Science
yaralyzer - Visually inspect and force decode YARA and regex matches found in both binary and text data. With Colors.
retrolab - JupyterLab distribution with a retro look and feel 🌅
Cerebro - Scripts and lists to help generate YARA friendly string mutations
cobaltstrike-beacon-data - Open Dataset of Cobalt Strike Beacon metadata (2018-2022)
binlex - A Binary Genetic Traits Lexer Framework
pyc2bytecode - A Python Bytecode Disassembler helping reverse engineers in dissecting Python binaries by disassembling and analyzing the compiled python byte-code(.pyc) files across all python versions (including Python 3.10.*)
LibreAV - A free and open source anti-malware for android using machine learning.
threat-research-and-intelligence - BlackBerry Threat Research & Intelligence
MDML - Malware Detection using Machine Learning (MDML)