yaralyzer
APKiD
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| yaralyzer | APKiD | |
|---|---|---|
| 4 | 1 | |
| 100 | 1,895 | |
| - | 3.5% | |
| 5.1 | 7.4 | |
| about 1 month ago | 7 days ago | |
| Python | 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.
yaralyzer
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The Pdfalyzer is a tool for visualizing the inner tree structure of a PDF in large and colorful diagrams as well as scanning its internals for suspicious content
for the ultra low level the Didier Stevens tools mentioned in the OP are rock solid, but for anything sort of in the middle zone - allowing you to work with the logical structure, having a consistent API, etc. etc. - yeah there's not much out there, which is why I ended up making The Pdfalyzer (and The Yaralyzer, which was basically just a side effect).
- The Yaralyzer is a new tool for visualizing and force decoding YARA and regular expression matches in binary and text data of any kind
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The Yaralyzer is a new tool for visualizing / force decoding YARA and regular expression matches in binary and text
Just released 0.4.0 which has some new features and small improvements over the 0.1.0 I posted originally... CHANGELOG.md
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?
pandora - Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results
AMAYARA-Lab - The アマヤラ Lab project provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules.
win32-shellcode - Win32 Shellcode CheatSheet: Your visual guide for crafting and understanding shellcode. Ideal for malware, and exploit developers
Cerebro - Scripts and lists to help generate YARA friendly string mutations
Somnium - Script to test NetSec capabilities.
binlex - A Binary Genetic Traits Lexer Framework
anytree - Python tree data library
LibreAV - A free and open source anti-malware for android using machine learning.
peepdf - Powerful Python tool to analyze PDF documents
MDML - Malware Detection using Machine Learning (MDML)
DroidDetective - A machine learning malware analysis framework for Android apps.
XAPKDetector - APK/DEX detector for Windows, Linux and MacOS.