Applying SAST Tools to Any Application

Applying CodeQL to Your Application

CodeQL is a powerful static analysis tool developed by GitHub, used for finding security vulnerabilities in code by turning it into a queryable database. This flexibility allows developers to write custom queries to identify vulnerabilities specific to their application.

Why CodeQL?

Customizable Queries: CodeQL allows you to create or modify queries to detect specific patterns or vulnerabilities in your codebase.

Integration with GitHub Actions: It’s easily integrated into CI/CD pipelines, allowing for continuous security testing as part of the development process.

Broad Language Support: CodeQL supports various languages, including JavaScript, Python, Go, C++, and Java, making it versatile for different types of projects.

CodeQL Workflow

Here’s a basic workflow for applying CodeQL to your application:

1. Set Up CodeQL in Your Project
   If you are using GitHub, you can enable CodeQL analysis through GitHub Actions.
   Navigate to the Security tab in your repository and choose "Set up CodeQL".
   GitHub will create a .github/workflows/codeql-analysis.yml file in your repository.


2. Configure the CodeQL Workflow
   In the codeql-analysis.yml, you can configure which languages CodeQL should analyze. For example:
   

jobs:

  analyze:

    strategy:

      matrix:

        language: [ 'javascript', 'python' ] # Add the languages you're using

Set the repository paths and branches for scanning. By default, CodeQL runs on pull requests and pushes to the main branch.

. Run the Analysis

Once the workflow is set up, CodeQL will automatically run on each pull request or push event.

During the CI/CD process, it converts your code into a queryable database and runs a set of predefined queries to detect vulnerabilities like SQL injection, buffer overflows, or unsafe data handling.

1. Review the Results
   After the scan, CodeQL generates a report with vulnerabilities found. You can access this in the Security tab of your repository on GitHub.
   Each finding includes details about the vulnerability, its location in the code, and recommended fixes.


2. Custom Queries (Optional)
   If you want to write custom rules for specific vulnerabilities, you can create a .ql query file. These custom queries can target unique business logic vulnerabilities or coding patterns.
   For example, a custom query to find unsafe string concatenation for SQL commands:
   

import javascript

from FunctionCall f

where f.getMethod().getName() = "concat" and f.getArgument(0).getType() = "SQLQuery"

select f, "Unsafe SQL concatenation found"

1. Continuous Monitoring
   CodeQL continues scanning each new code change as part of your CI/CD pipeline, ensuring that no new vulnerabilities are introduced.
   Conclusion
   By integrating CodeQL into your development pipeline, you can proactively catch security issues and enforce security best practices. With its customizable queries, CodeQL offers a powerful way to tailor security scanning to the specific needs of your project, ensuring robust code security throughout the development process.