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This channel has been created to share some of the good stuff in solving the CTF challenges. Our try will be to put writeup to some of the CTF challenges.

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MazeWalker MazeWalker’s goal is to reduce malware analysis time by automating runtime data collection and better visualization eventually helping a researcher to concentrate on static analysis and less on its dynamic part. https://github.com/0xPhoeniX/MazeWalker #re #ida #malware @ctfplay

PhpSploit is a remote control framework, aiming to provide a stealth interactive shell-like connection over HTTP between client and web server. It is a post-exploitation tool capable to maintain access to a compromised web server for privilege escalation purposes. https://github.com/nil0x42/phpsploit #Web #Pentest @ctfplay

Tests for race conditions in web applications. Includes a RESTful API to integrate into a continuous integration pipeline. https://github.com/aaronhnatiw/race-the-web #Web #Api @ctfplay

Practical Approaches for Testing and Breaking JWT Authentication https://mazinahmed.net/blog/breaking-jwt/ #Web #Article @ctfplay

#Ghidra Processor for the Play Station 2's Emotion Engine MIPS based CPU https://github.com/beardypig/ghidra-emotionengine #Reverse @ctfplay

A tool designed to assist with finding all sinks and sources of a web application and display these results in a digestible manner : https://github.com/nccgroup/tracy #Tools #Web #Pentest @ctfplay

OWASP-Nettacker/readme.md at master · ZDResearch/OWASP-Nettacker https://github.com/zdresearch/OWASP-Nettacker/blob/master/readme.md #Pentest #Tools @ctfplay

#Poc #Exploit @ctfplay

PEpper An open source script to perform malware static analysis on Portable Executable https://github.com/Th3Hurrican3/PEpper #Malware #Re #Tools @ctfplay

5000 Android Apps samples in four categories Adware, Ransomeware, Scareware and SMS Malware in 42 families If you are working on Android malware detection and characterization, pls find our new dataset CICInvesAndMAl2019 which includes 5000 samples in four categories Adware, Ransomeware, Scareware and SMS Malware in 42 families. To present the real behaviors of the Android malware in this dataset we used real cell phones instead of on emulators and followed different activation functions such as sending SMS, Calling, Interacting with malware sample, shutting down the cell phone to activate malware and passed the dormitory phase. Also, we captured malware activities immediately after installing, during interaction with, and after restarting the cellphone and interacting again. http://205.174.165.80/CICDataset/CICInvesAndMal2019/ #Malware #Android @ctfplay

Deserialization Bugs in the Wild A totally unscientific analysis of deserialization vulns found in the wild https://medium.com/@vickieli/deserialization-bugs-in-the-wild-fe37149a7ee1 #Web #Article #Deserialization @ctfplay

Android Mobile App To Pentest

Android Mobile App Pentesting