A Python – Powered Keylogger Detection Tool

A Python - Powered Keylogger Detection Tool

              J. LAKSHMI ASSOCIATE PROFESSOR TIRUMALA ENGINEERING COLLEGE

                         ANGIREKULA LAKSHMI MANASA COMPUTER SCIENCE AND ENGINEERING

                                                                               TIRUMALA ENGINEERING COLLEGE

                          CHALLA LAKSHMI PRASANNA COMPUTER SCIENCE AND ENGINEERING

                                                                         TIRUMALA ENGINEERING COLLEGE

                          AMMANABROLU SIVA NAGA JYOTHI COMPUTER SCIENCE AND ENGINEERING

                                                                          TIRUMALA ENGINEERING COLLEGE

                          DHULIPALLA NAGA SAI COMPUTER SCIENCE AND ENGINEERING

                                                                           TIRUMALA ENGINEERING COLLEGE

ABSTRACT
Keyloggers are a prevalent threat that record users' keystrokes to steal credentials and sensitive data. This paper presents a Python-based keylogger detection tool that scans running processes and checks them against indicators of compromise (IOCs). The detector integrates process inspection, signature matching, and automated remediation functions. A graphical user interface allows easy operation and threat response. The tool was tested against known keyloggers and demonstrated effective discovery with minimal false positives. This demonstrates Python's capabilities for building specialized security automation scripts to fill gaps in traditional anti- malware. The detector provides a straightforward yet extensible approach for defending against keylogging threats.