progpilot

Progpilot is a command line tool that provides static code analysis for PHP applications to detect security vulnerabilities and potential coding errors.

It uses the PHP-Parser library to parse the PHP source code and build an Abstract Syntax Tree (AST) representation of the code. This AST is then analyzed by progpilot to identify various types of vulnerabilities.

The tool supports detection of common security vulnerabilities such as SQL injection, Cross-Site Scripting (XSS), command injection, insecure file inclusion, and more. It also checks for potential errors like uninitialized variables, unused function or method calls, and type mismatch issues.

Progpilot incorporates a custom vulnerability database that contains signatures and patterns of known vulnerabilities, making it effective in finding common security issues in PHP applications. It can be updated with new signatures as new vulnerabilities emerge.

The tool provides detailed reports after analysis, highlighting the vulnerable code snippets, line numbers, and suggested fixes. It can generate reports in different formats such as HTML, JSON, and XML.

Progpilot supports configuration files to customize the analysis, allowing developers to specify additional rules, libraries to ignore, and specific directories or files to target.

It can scan individual files, directories, or even entire projects, making it flexible for different usage scenarios. The scanning process is fast and efficient, even for large codebases.

Progpilot can be easily integrated into Continuous Integration (CI) systems, build pipelines, or pre-commit hooks to automatically detect vulnerabilities and potential coding issues as part of the development process.

The tool is open-source and actively maintained, with contributions from the community. It has a dedicated GitHub repository where users can report issues, suggest improvements, and find the latest releases and documentation.

Overall, progpilot is a powerful command line tool for PHP developers to enhance the security and quality of their applications by detecting vulnerabilities and potential coding errors during the static code analysis process.