wx-favorites-report

To decrypt WeChat favorites, you must extract the PBKDF2 encryption key from the app's memory using Frida, then use PyCryptodome to perform AES-256-CBC SQLCipher decryption on the local SQLite database. This process transforms encrypted records into structured JSON data for analysis.

Yes, you can visualize WeChat favorites data in an interactive HTML report using ECharts. The process generates a single-file, dark-themed dashboard displaying monthly trends, content type distributions, source rankings, activity heatmaps, and word clouds for personal analysis and historical review.

Extracting WeChat SQLCipher encryption keys using Frida requires a macOS environment running WeChat, along with Frida for in-memory PBKDF2 key extraction and PyCryptodome for the subsequent AES-256-CBC database decryption to parse articles, chat logs, and videos.

Yes, the WeChat favorites decryption tool supports parsing videos and files. It automatically decrypts the SQLite database and parses over 10 content types, including saved articles, chat records, videos, and files, into structured JSON data for digital memory curation.

You can browse and search extracted WeChat favorites through a filterable, searchable, paginated gallery within the generated HTML report. It supports filtering by content type and tag, full-text search, multiple sort orders, and detail modals for granular review.

The best way to analyze WeChat saved articles and chat history is to decrypt the local SQLCipher database into structured JSON, then generate an interactive ECharts visualization report showing activity heatmaps, monthly trends, and source rankings for comprehensive personal content analysis.