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Python module for controlling process CPU affinity
This is a Ansible script for building a ready to go Cuckoo Sandbox server.
Automatic deployment of Cuckoo Sandbox malware lab using Packer and Vagrant
CPU & Memory Monitor, auto dump.
SaltStack formula for deploying Cuckoo Sandbox
by using Android x86 Emulator
Malware Analysis Workshop
Android application fuzzing framework with fuzzers and crash monitor.
Handy scripts to speed up malware analysis
I provide a module with few function frequently used while processing network monitoring data such as log files.
Malware Dynamic Analysis Platform enhanced Cuckoo Sandbox
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Monitor server CPU / Memory / Process / Zombie Process / Disk size / Security Packages / Network Input / Network Output
A python module to help inject shellcode/DLLs into windows processes
This plugin provides native memory instrumentation for monitoring and metrics collection, including: memory usage via `free` and `vmstat`, including metrics. Note that this plugin may have cross-platform issues.
Sample staging & detonation utility to be used in combination with Cuckoo Sandbox.
The project deals with advanced data structures and concepts used by Python such as: Queues and Threads to understand this project. This Python script or agent is used to read tcp connection statistics from kernel via /proc file. Majority of Linux stats tool read performance statistics using /proc file. /proc is a pseudo filesystem in Linux that allows user applications or stats tool to read kernel statistics by simply reading a /proc file (# cat /proc/stats). For example: vmstat tool that reads memory statistics from kernel uses /proc/meminfo and /proc/vmstat files iostat tool that reads disk statistics from kernel uses /proc/diskstats file mpstat tool that reads cpu statistics from kernel uses /proc/stat file pidstat that read per process memory and cpu statistics from kernel uses /proc/pid/stat file netstat that reads network statistics from kernel uses /proc/net/netstat or /proc/net/dev files TCP per connection statistics is generated by open source kernel module tcp_probe . Kernel driver makes TCP statistics available via /proc file. TCP statistics include: connection latency, throughput and other stats such as: packet Round Trip Time (RTT), Commulative Bytes transferred, packet retransmission and additional stats. Each line read via /proc file has a unique quadruplet: Source IP address, Source Port, Destination IP address and Destination Port and relevant tcp statistics. After the tcpprobe kernel module is loaded, one can read statistics by simply doing: # cat /proc/net/tcpprobe Python agent reads these tcp connection statistics via /proc/net/tcpprobe and appends it into Queue data structure with a timestamp. Another thread that blocks on HTTP request reads these connection stats from the Queue and delivers it as a JSON object. Web clients (Java scripts) has libraries to interpret JSON objects and can use it to build performance dashboard
🔍 Identify users and track interactions with Hanzo's native solution for web analytics.
Runtime memory analysis framework to identify Android malware
VolDiff: Malware Memory Footprint Analysis based on Volatility
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.