A plugin-driven, multi-language SAST.
Project description
DRSource
DRSource is an extensible, multi-language static analysis tool designed to detect vulnerabilities in source code. It uses a pluggable architecture to combine multiple detection techniques—from simple regex matching to advanced AST-based taint analysis—all driven by a central, user-configurable knowledge base.
It identifies security issues such as SQL Injection, Cross-Site Scripting (XSS), Command Injection, Hardcoded Secrets, and many others across all supported languages in a single, unified scan.
Features
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Extensible Plugin Architecture The scanner automatically discovers and runs all available analyzer plugins. This allows new languages (e.g., Python, Go) and new analysis techniques (e.g., control-flow analysis) to be added without changing the corFeatures
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Centralized Knowledge Base All rules—from simple regex patterns to complex AST sources and sinks for taint analysis—are defined in a single, human-readable knowledge_base.yaml file. This makes it easy to add or customize rules for any supported language.
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Multi-Engine Analysis (in one scan) DRSource runs all plugins simultaneously, giving you a complete picture of your codebase:
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Regex Engine: Uses a high-speed, general-purpose regex plugin to find known vulnerability patterns and hardcoded secrets in any file type.
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AST Taint Engine: Performs deep data-flow analysis by parsing code into an Abstract Syntax Tree (AST) to track taint from user input sources (e.g., request.getParameter) to sensitive sinks (e.g., executeQuery).
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Persistent Database & Scan Comparison All findings are stored in a local SQLite database, allowing you to:
- View scan history (--history).
- Compare scans to find new, resolved, and persistent vulnerabilities (--compare).
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Robust CLI & Reporting The command-line interface offers powerful options, including:
- Database initialization (--init-db).
- Exporting results in multiple formats (--export [sarif|json|ascii]).
- Taint-flow visualization (--show-trace).
Installation
Clone the repository and navigate to the project root:
git clone https://github.com/thesp0nge/dr_source.git
cd dr_source
Install the package (and all dependencies) in editable mode:
pip install --editable .
This automatically registers all core plugins (JavaAstAnalyzer, RegexAnalyzer) so the scanner can find them.
Usage
Run dr_source against any source code directory. It will automatically detect all file types and run the appropriate analyzer plugins.
dr_source [OPTIONS] TARGET_PATH
Options
- TARGET_PATH: The path of the codebase to analyze.
- --init-db: Initialize the database from scratch (drops and recreates tables).
- --history: Display the scan history for the project.
- --compare : Compare the latest scan with a previous scan specified by ID.
- --export [sarif|json|ascii]: Export scan results in the specified format.
- --output : Output file for the exported report.
- --show-trace: Display the full data-flow trace for AST-based vulnerabilities.
- --debug: Enable debug logging.
- --version: Show DRSource version and exit.
Examples
- Run a Standard Scan This one command runs all plugins (Regex, AST, etc.) on the codebase.
dr_source /path/to/my-project
- Export Results as SARIF (Ideal for uploading to GitHub Security)
dr_source --export sarif --output findings.sarif /path/to/my-project
- View Taint Traces
dr_source --show-trace /path/to/my-project
- Initialize the database
dr_source --init-db /path/to/my-project
Contributing
Contributions are welcome! With the new architecture, there are two main ways to contribute:
- Add/Improve a Rule:
- Simply edit the dr_source/config/knowledge_base.yaml file to add a new regex pattern or an AST sink/source.
- Add a New Plugin:
- Create a new plugin package (e.g., dr_source/plugins/python/).
- Write your new analyzer class (e.g., PythonAstAnalyzer) that implements the AnalyzerPlugin API.
- Register your new plugin in the entry_points section of setup.py.
For all contributions, please fork the repository, create a new branch, and submit a pull request.
License
dr_source is licensed under the MIT License.
Acknowledgments
Special thanks to the maintainers of javalang for their work on Java AST parsing, which powers the Java taint analysis plugin.
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