Pass the GitHub GitHub Certification GitHub-Advanced-Security Questions and answers with CertsForce

Dependabot builds a dependency graph by analyzing package manifests and lockfiles in your repository. This graph includes both direct and transitive dependencies. It then compares this graph against the GitHub Advisory Database, which includes curated, security-reviewed advisories.

This method provides a comprehensive and automated way to discover all known vulnerabilities across your dependency tree.

The correct place to look is the SECURITY.md file. This file provides contributors and security researchers with instructions on how to responsibly report vulnerabilities. It may include contact methods, preferred communication channels (e.g., security team email), and disclosure guidelines.

This file is considered a GitHub best practice and, when present, activates a “Report a vulnerability” button in the repository’sSecuritytab.

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.

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.​

ADependabot alertis only marked asresolvedwhen the related vulnerability is no longer present in your code — specifically after youmerge a pull requestthat updates the vulnerable dependency.

Simply viewing alerts or graphs doesnotaffect their status. Ignoring the alert by leaving the repo unchanged keeps the vulnerability active and unresolved.

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.

Comprehensive and Detailed Explanation:

Dependency review is triggered by specific events in GitHub workflows:​

pull_request: When a pull request is opened, synchronized, or reopened, GitHub can analyze the changes in dependencies and provide a dependency review.​

workflow_dispatch: This manual trigger allows users to initiate workflows, including those that perform dependency reviews.​

The trigger and commit options are not recognized GitHub Actions events and would not initiate a dependency review.​

To proactively address secret scanning:

Webhookscan be configured to listen for secret scanning events. This allows automation, logging, or alerting in real-time when secrets are detected.

Documenting secure development practices(like using environment variables or secret managers) helps reduce the likelihood of developers committing secrets in the first place.

Dismissal based on age is not a best practice without triage. SCIM deals with user provisioning, not scanning alerts.

If a secret isintentionally used in a test environmentandposes no real-world security risk, you may close the alert with the reason"used in tests". This helps reduce noise and clarify that the alert was reviewed and accepted as non-critical.

Just being in a test file isn't enough unless itspurpose is purely for testing.

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