adityatelange/forked__NetExec
Aug 2025 – Aug 2025
1 Month active
Languages Used
PythonShell
Technical Skills
Code DocumentationCode FormattingCommand Line Interface (CLI) TestingEnd-to-End TestingLoggingNetwork Security
E1A
PROFILE
E1a
E1A developed the Lockscreendoors module for the adityatelange/forked__NetExec repository, enabling detection of potential Windows backdoors by analyzing FileDescriptions in accessibility binaries. Leveraging Python and Shell scripting, E1A implemented multi-description support, improved extraction logic, and updated executables to ensure compatibility with Windows 11, Server 2025+, and legacy systems like Windows Server 2008. The work included enhanced logging for suspicious results, integrated end-to-end and CLI testing, and thorough code documentation. By addressing maintainability through lint fixes and documentation credits, E1A delivered a robust, security-focused feature that deepened NetExec’s capabilities in Windows internals and system security analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
1
Lines of code
208
Activity Months1
Your Network
36 people
Work History
August 2025
8 Commits • 1 Features
Aug 1, 2025August 2025 (2025-08): Delivered the Lockscreendoors module for NetExec to detect potential Windows backdoors by inspecting FileDescriptions, with multi-description support, improved extraction, and updated executables for Windows 11/Server 2025+. Expanded compatibility to Windows Server 2008 and enhanced logging for suspicious results. Completed test integration and added documentation credits alongside lint fixes and PR cleanups to improve maintainability and output clarity.
8 Commits • 1 Features
Aug 1, 2025August 2025 (2025-08): Delivered the Lockscreendoors module for NetExec to detect potential Windows backdoors by inspecting FileDescriptions, with multi-description support, improved extraction, and updated executables for Windows 11/Server 2025+. Expanded compatibility to Windows Server 2008 and enhanced logging for suspicious results. Completed test integration and added documentation credits alongside lint fixes and PR cleanups to improve maintainability and output clarity.
August 2025
Activity
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Quality Metrics
Correctness87.6%
Maintainability87.6%
Architecture85.0%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
Code DocumentationCode FormattingCommand Line Interface (CLI) TestingEnd-to-End TestingLoggingNetwork SecurityPythonPython DevelopmentReverse EngineeringSecurity AnalysisSystem AdministrationSystem SecurityWindows Internals
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