Free Practice Questions for GitHub GitHub-Advanced-Security Exam

Dependabot alerts are generated as soon as GitHub detects a known vulnerability in one of your dependencies. GitHub does this by analyzing your repository’s dependency graph and matching it against vulnerabilities listed in the GitHub Advisory Database. Once a match is found, the system raises an alert automatically without waiting for a PR or manual action.

This allows organizations to proactively mitigate vulnerabilities as early as possible, based on real-time detection.

All results from CodeQL analysis appear under therepository’s code scanning alertstab. This section is part of theSecuritytab and provides a list of all current, fixed, and dismissed alerts found by CodeQL.

A CodeQL database is used internally during scanning but does not display results. Query packs contain rules, not results. Security advisories are for published vulnerabilities, not per-repo findings.

Code scanningis a static analysis feature that examines your source code to identifysecurityvulnerabilitiesandcoding errors. It runs either on every push, pull request, or a scheduled time depending on the workflow configuration.

It doesnotautomatically contact maintainers, scan full Git history, or block pushes unless explicitly configured to do so.

Comprehensive and Detailed Explanation:

In private repositories, users with write access can fix code scanning alerts. They can do this by committing changes that address the issues identified by the code scanning tools. This level of access ensures that only trusted contributors can modify the code to resolve potential security vulnerabilities.​

GitHub Docs

Users with read or triage roles do not have the necessary permissions to make code changes, and the security manager role is primarily focused on managing security settings rather than directly modifying code.​

To create or modify acode scanning workflow file(typically under .github/workflows/codeql-analysis.yml), you must haveWriteaccess to the repository.

Write permission allows you to commit the workflow file, which is required to run or configure code scanning using GitHub Actions.

Thedependency graphin a repository is built byparsing manifest and lock files(like package.json, pom.xml, requirements.txt). It helps GitHub detect dependencies and cross-reference them with known vulnerability databases for alerting.

It is specific to each repository and does not show org-wide or cross-repo summaries.

In a dependabot.yml configuration file,package-ecosystemis arequired key. It defines the package manager being used in that update configuration (e.g., npm, pip, maven, etc.).

Without this key, Dependabot cannot determine how to analyze or update dependencies. Other keys like rebase-strategy or commit-message are optional and used for customizing behavior.

Comprehensive and Detailed Explanation:

A CodeQL database contains a representation of your codebase, including the build of the code and extracted data. This database is used to run CodeQL queries to analyze your code for potential vulnerabilities and errors.​

GitHub Docs

When you identify that a code scanning alert is a false positive—such as when your code uses a custom sanitization method not recognized by the analysis—you should dismiss the alert with the reason "false positive." This action helps improve the accuracy of future analyses and maintains the relevance of your security alerts.​

As per GitHub's documentation:​

"If you dismiss a CodeQL alert as a false positive result, for example because the code uses a sanitization library that isn't supported, consider contributing to the CodeQL repository and improving the analysis."​

By dismissing the alert appropriately, you ensure that your codebase's security alerts remain actionable and relevant.

When dealing with a data flow issue in a code scanning alert, clicking on "Show paths" provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.​