An-Introduction-to-Statistical-Learning
Mobile-Security-Framework-MobSF
Our great sponsors
An-Introduction-to-Statistical-Learning | Mobile-Security-Framework-MobSF | |
---|---|---|
2 | 6 | |
2,285 | 16,289 | |
- | 2.3% | |
1.8 | 8.7 | |
about 3 years ago | 11 days ago | |
Jupyter Notebook | JavaScript | |
- | GNU General Public License v3.0 only |
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.
An-Introduction-to-Statistical-Learning
- Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
-
Weekly Developer Roundup #21 - Sun Nov 08 2020
hardikkamboj/An-Introduction-to-Statistical-Learning (Jupyter Notebook): This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
Mobile-Security-Framework-MobSF
-
Hacking & Gaming :)
the program is from github too lmao https://github.com/MobSF/Mobile-Security-Framework-MobSF ðŸ˜
-
Can anyone recommend a good tool to pentest mobile apps?, I have the packages locally. Thanks
I can say only for android: - General Scanner -> https://github.com/MobSF/Mobile-Security-Framework-MobSF - Decompiler -> https://github.com/skylot/jadx
-
iOS pentest help
You want to useMobSF to disable Certificate Pinning and install your Burp CA. Then, set up a network to be able to MitM the traffic.
-
Strengthen your Android or iOS Application Security using MobSF - Learn by example (2021)
# This will download MobSF into a folder # called Mobile-Security-Framework-MobSF git clone https://github.com/MobSF/Mobile-Security-Framework-MobSF.git
-
Tools and Skills to be the Bug Bounty Hunting.
MobiSRF:Mobile Appliation testing)Mobile Security System (MobSF) is an integrated, all-in-one mobile device pen-testing, malware analysis, and vulnerability evaluation system capable of conducting static and dynamic analysis (Android/iOS/Windows). MobSF accepts mobile app binaries (APK, XAPK, IPA, and APPX) as well as zipped source code and offers REST APIs for seamless integration with your CI/CD or DevSecOps pipeline.You may use the Dynamic Analyzer to conduct runtime security assessments and immersive instrumented monitoring.
-
Weekly Developer Roundup #21 - Sun Nov 08 2020
MobSF/Mobile-Security-Framework-MobSF (Python): Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.
What are some alternatives?
ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
RMS-Runtime-Mobile-Security - Runtime Mobile Security (RMS) 📱🔥 - is a powerful web interface that helps you to manipulate Android and iOS Apps at Runtime
winapps - Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration.
OpenCorePkg - OpenCore bootloader
pifuhd - High-Resolution 3D Human Digitization from A Single Image.
PEpper - An open source script to perform malware static analysis on Portable Executable
Sharing_ISL_python - An Introduction to Statistical Learning with Applications in PYTHON
apkleaks - Scanning APK file for URIs, endpoints & secrets.
youtube-dl-gui - A cross platform front-end GUI of the popular youtube-dl written in wxPython.
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
datascience-template - Data science project template
MobileApp-Pentest-Cheatsheet - The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.