digininja/theHarvester
May 2025 – May 2025
1 Month active
Languages Used
DockerfileMarkdownPythonShellTextYAML
Technical Skills
API DiscoveryAPI IntegrationAPI SecurityArgument ParsingAsynchronous ProgrammingCode Maintenance
ibrahinsql
PROFILE
Ibrahinsql
Contributed to the digininja/theHarvester project by delivering three new features focused on expanding API endpoint scanning, integrating BinaryEdge as a search engine, and improving the command-line interface and development environment. Leveraged Python and Docker to enhance discovery workflows, extend wordlists, and improve error handling, resulting in broader data collection and more reliable scans. Streamlined CLI argument parsing and updated documentation to facilitate faster setup and predictable builds. Addressed code maintenance by resolving merge conflicts, updating dependencies, and removing deprecated assets, which reduced technical debt and stabilized the codebase for future enhancements without introducing new bugs during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
19Total
Bugs
0
Commits
19
Features
3
Lines of code
7,653
Activity Months1
Your Network
14 peopleWork History
May 2025
19 Commits • 3 Features
May 1, 2025May 2025 monthly summary for the digininja/theHarvester project. Delivered substantial feature improvements to API endpoint scanning, integrated BinaryEdge as a search engine, and enhanced the CLI and development environment. Also stabilized the codebase by resolving merge conflicts, updating dependencies, and removing deprecated assets, reducing maintenance overhead and improving build reliability. Overall, these changes broaden data collection coverage, improve error handling, and enable faster iteration for future enhancements.
19 Commits • 3 Features
May 1, 2025May 2025 monthly summary for the digininja/theHarvester project. Delivered substantial feature improvements to API endpoint scanning, integrated BinaryEdge as a search engine, and enhanced the CLI and development environment. Also stabilized the codebase by resolving merge conflicts, updating dependencies, and removing deprecated assets, reducing maintenance overhead and improving build reliability. Overall, these changes broaden data collection coverage, improve error handling, and enable faster iteration for future enhancements.
May 2025
Activity
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Quality Metrics
Correctness88.8%
Maintainability88.8%
Architecture85.8%
Performance83.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
DockerfileMarkdownPythonShellTextYAML
Technical Skills
API DiscoveryAPI IntegrationAPI SecurityArgument ParsingAsynchronous ProgrammingCode MaintenanceCode RefactoringCommand Line ToolsCommand-line Interface (CLI)Command-line ToolsConfiguration ManagementData StructuresDependency ManagementDockerDocumentation
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