3 Repos
Tools that automatically detect and categorize specific data types like API keys or network addresses within input strings.
Distinct from Data Formats: Distinct from Data Formats: focuses on identifying specific content types (keys, IPs) rather than file structure specifications.
Explore 3 awesome GitHub repositories matching data & databases · Data Type Identifiers. Refine with filters or upvote what's useful.
Ciphey is an automated decryption and data obfuscation tool designed to identify and reverse complex, multi-layered encoding schemes. By utilizing statistical analysis and probability scoring, the system automatically detects unknown data formats and recovers human-readable plaintext from obfuscated input strings without requiring manual algorithm specification. The tool distinguishes itself through a recursive pipeline that processes nested data structures and strips formatting anomalies or invisible characters to ensure consistent input. It employs a heuristic search and multithreaded execu
Automatically identifies specific data types like API keys or network addresses using pattern matching.
fuzzdb is a collection of datasets designed for web application penetration testing and dynamic fuzzing. It provides a fuzzing payload dictionary, a resource discovery wordlist, and a fault injection dataset containing corrupted Unicode, null bytes, and escape codes to trigger application crashes and logic errors. The project includes a security filter bypass list featuring polyglots and encoded strings to evade web application firewalls and input validation filters. It also provides a comprehensive web application penetration testing dataset specifically for identifying flaws such as cross-s
Includes patterns that automatically detect and categorize sensitive data types like credit card numbers and PII within responses.
OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin
Specifies the depth and number of channels of a matrix using a compact type identifier.