Keylogger proposes a revolutionary way to quietly capture and transmit keystrokes through the hidden Python keylogger within PDF and text files. This program seeks to avoid standard detection methods by embedding its functionality within harmless papers, permitting covert monitoring and security testing. Keylogger provides an interface for social networking platform integration and operations in addition to text processing for interaction. With the offering of a dependable but appropriate tool for legal safety evaluations and learning goals that highlight ethical usage, the project wants to benefit the cybersecurity sector.