The article demonstrates a double‑layer MITM setup (mitmproxy → Burp Suite → mitmproxy) to decrypt SM2‑encrypted web request and response traffic, provides step‑by‑step commands, common pitfalls, and a GitHub skill that automates the process.
This guide reviews eight network packet‑capture utilities—from lightweight command‑line tools like Tcpdump and Tshark to visual HTTP debuggers such as Charles, mitmproxy, and Fiddler—detailing their core strengths, typical use cases, command examples, and how to choose the right tool for operations or security scenarios.
This article describes the design and implementation of an automated H5 performance testing platform that integrates UI automation, mitmproxy traffic capture, waterfall visualization, and Lighthouse scoring to continuously monitor, evaluate, and improve web page performance in mobile applications.
This guide explains how to capture Douyin dynamic wallpaper video URLs with mitmproxy, extract MP4 links from the generated content.data file, deduplicate them, and download the videos using a Python script with requests and tqdm.
This tutorial explains how to set up Fiddler and mitmproxy to intercept Douyin traffic, automatically save JSON responses using custom scripts, and then parse and store the extracted user information in CSV files with Python, providing step‑by‑step instructions and code examples.
This article introduces mitmproxy, explains its proxy modes and MITM operation, and demonstrates how to use Python scripts with mitmproxy to automate multi‑field validation and encryption handling in mobile advertising testing, offering a flexible alternative to traditional capture tools.
This tutorial shows how to combine mitmproxy packet capture and Appium mobile automation in Python to automatically collect and download Douyin video URLs, covering environment setup, code snippets, and practical steps for a fully automated scraper.
This guide walks you through setting up a Windows environment with PyCharm, mitmproxy, and Appium to capture Douyin video URLs, filter them, and download the videos automatically using Python scripts that drive the mobile app and handle network traffic.
This tutorial explains how to set up Python, mitmproxy, and Appium on Windows to automatically capture Douyin video URLs, download the videos, and automate scrolling on an Android device, providing a complete end‑to‑end solution for mobile video scraping.
This tutorial explains how to use Charles proxy, Appium automation, and mitmproxy to intercept and extract real‑time hotspot rankings from the Douyin Android app, covering tool installation, proxy configuration, certificate setup, and script execution steps.
Hulk is a non‑intrusive HTTP mock platform built with Django, mitmproxy, Vue, MongoDB and MySQL that lets teams mock client‑side, gateway-level and inter‑service APIs via configurable responses, without modifying production code, thereby reducing test‑data creation effort, stabilizing automation and improving overall testing efficiency.
This article explains how to use Python and MitmProxy to automatically capture reading counts, likes, and view numbers from WeChat public articles, covering installation, dynamic cookie/token handling, batch fetching, and full code examples for a streamlined backend scraping solution.
This tutorial explains how to capture and analyze Douyin's hot list data on Android by setting up Charles proxy, installing required certificates, intercepting traffic, and automating the process with Appium and mitmproxy, providing step‑by‑step instructions and key code snippets.
This guide compares five popular packet‑capture tools—Wireshark, Tcpdump, Charles, and mitmproxy—explaining their strengths, weaknesses, installation steps, filter syntax, and best‑use scenarios for developers and testers needing efficient network debugging.
This article examines the difficulties of mobile H5 performance testing—including root‑required tcpdump, JavaScript injection, HTTPS pcap parsing, and white‑screen timing—provides background on mobile browsers, outlines performance metrics, compares four testing approaches, and describes a WebView monitoring workflow with data conversion and visualization.
This article examines the difficulties of automating mobile H5 performance testing—such as root‑required tcpdump, HTTPS pcap parsing, and ambiguous white‑screen timing—and presents background on mobile browsers, W3C performance metrics, and a comparative review of practical testing tools and a custom WebView monitoring workflow.
The article introduces a comprehensive H5 performance automation platform for mobile devices that combines a management console, agents, mitmproxy, and Harviewer to capture, process, and visualize HTTP/HTTPS traffic, addressing limitations of traditional tools like Charles and Fiddler.
