bee-san/Ciphey

Features

• Automated Decryption Utilities - Automatically identifies and reverses complex, nested encoding schemes to recover plaintext.
• Obfuscated Data Decoders - Automatically reverses common encoding and encryption schemes to recover human-readable text from obfuscated input.
• Encoding Identification Engines - Uses statistical analysis to detect and categorize unknown data formats without manual specification.
• Incident Investigation Tools - Enables security professionals to decode nested data structures and obfuscated strings during incident response.
• Recursive Decoding Pipelines - Iteratively applies decryption modules to nested data structures until human-readable plaintext is recovered.
• Multi-Layer Decoders - Resolves multi-level, nested encoding structures through automated, recursive conversion steps.
• Data Type Identifiers - Automatically identifies specific data types like API keys or network addresses using pattern matching.
• Decryption Registries - Uses a pluggable registry of independent algorithms to dynamically select the best decryption method for input data.
• Forensic Tools - Cleans malformed data and resolves nested encodings to facilitate forensic examination of suspicious strings.
• Criteria-Based Scoring Engines - Scores potential decryption paths based on the statistical likelihood of producing valid plaintext.
• Encoding Identification - Uses statistical methods to differentiate between valid human-readable text and random noise or encoded data.
• Heuristic Pattern Search Algorithms - Prioritizes decryption paths using statistical probability to efficiently navigate complex, multi-layered encoding schemes.
• Parallel Execution Engines - Employs concurrent processing to evaluate multiple decryption paths simultaneously for faster result identification.

Star history