digininja/theHarvester
May 2025 – May 2025
1 Month active
Languages Used
DockerfileMarkdownPythonShellTextYAML
Technical Skills
API DiscoveryAPI IntegrationAPI SecurityArgument ParsingAsynchronous ProgrammingCode Maintenance
ibrahinsql
PROFILE
Ibrahinsql
During May 2025, Ibrahim contributed to the digininja/theHarvester repository by developing and refining features focused on API endpoint scanning and data collection. He enhanced the tool’s discovery workflows and integrated BinaryEdge as a new search engine, broadening the range of supported data sources. Using Python and Docker, Ibrahim improved command-line interface parsing and streamlined the development environment, updating dependencies and documentation for more reliable builds. His work emphasized code maintenance and error handling, resolving merge conflicts and removing deprecated assets. These efforts resulted in a more stable, maintainable codebase with expanded scanning capabilities and improved support for asynchronous operations.
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 people
Work 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
Repositories Contributed To
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