Awesome GitHub RepositoriesPattern-Based Data Identification

Ciphey is an automated decryption tool and cryptographic analysis framework designed to identify and reverse encryptions, encodings, and hashes without requiring a known key or cipher. It functions as a hash cracking engine and a heuristic cipher identifier to recover original plaintext from unknown data patterns. The project features a nested encoding resolver that iteratively unwraps multiple layers of encryption and encoding until readable text is reached. It employs a heuristic cryptanalysis workflow to analyze data characteristics and guess the likely encoding scheme or encryption method

This project provides a custom rule set and configuration profiles for content processing tools. It consists of declarative rules and JSON-based configurations that define how a target application identifies and handles specific types of data. The system enables dynamic tool configuration by injecting external logic at runtime, removing the need for core system recompilation. These configurations use schema-validated rule sets to ensure structural integrity and prevent errors during processing. The project implements pattern-based data identification using regular expressions and a priority-

Wireshark is a network protocol analyzer and traffic inspector used for capturing and inspecting network traffic. It functions as a packet capture tool that intercepts live data from network interfaces and a TCP/IP dissector that decodes network protocol layers to translate raw binary packets into human-readable fields. The system provides capabilities for protocol stream reconstruction, grouping related packets into cohesive conversations between endpoints. It also operates as a packet file converter, allowing for the reading, modification, and conversion of network capture files across vari

pyWhat is a Python-based data extraction tool designed to scan files and text for sensitive identifiers, credentials, and network artifacts using regular expressions. It functions as a pattern matching engine and PII scanner capable of identifying personal identifiers and sensitive data patterns across directories and binary files. The project specializes in the identification of unknown data formats through file signatures and the extraction of high-value identifiers, such as URLs, IP addresses, and phone numbers, from network capture files. It utilizes a rarity-based filtering system and sp

This is a regular expression library designed for the validation and identification of mobile phone numbers from mainland China. It provides the structural rules and digit constraints necessary to verify that phone numbers follow the correct regional format. The library includes specific patterns to determine the telecommunications provider based on regional prefixes. It also features filters to distinguish between standard voice numbers and IoT or data-only plans. The project covers broad data validation capabilities, including input format verification and carrier identification.