Free and Premium GitHub GitHub-Advanced-Security Dumps Questions Answers

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.

Comprehensive and Detailed Explanation:

In the advanced setup for CodeQL code scanning, GitHub generates a workflow file named codeql-analysis.yml. This file is located in the .github/workflows directory of your repository. It defines the configuration for the CodeQL analysis, including the languages to analyze, the events that trigger the analysis, and the steps to perform during the workflow.​

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.

To ensure you're notified whenever a vulnerability is detected via Dependabot, you mustenablealerts for Dependabotin your personal notification settings. This applies to both new and existing repositories. It ensures you get timely alerts about security vulnerabilities.

The dependency graph must be enabled for scanning, but does not send alerts itself.

Dependabot alerts utilize standardized identifiers to describe vulnerabilities:​

CVE (Common Vulnerabilities and Exposures):A widely recognized identifier for publicly known cybersecurity vulnerabilities.​

CWE (Common Weakness Enumeration):A category system for software weaknesses and vulnerabilities.​

These identifiers help developers understand the nature of the vulnerabilities and facilitate the search for more information or remediation strategies.​

When integrating CodeQL outside of GitHub Actions (e.g., in Jenkins, CircleCI):

Install the CLI: Needed to run CodeQL commands.

Analyze code: Perform the CodeQL analysis on your project with the CLI.

Upload scan results: Export the results in SARIF format and use GitHub’s API to upload them to your repo’s security tab.

You don’t need to write custom queries unless extending functionality. “Processing alerts” happens after GitHub receives the results.

TheSecurity tabin a GitHub repository provides a central location for viewing security-related information, especially when GitHub Advanced Security is enabled. The following can be accessed:

Number ofalertsrelated to:

Code scanning

Secret scanning

Dependency (Dependabot) alerts

Summary and visibility into open, closed, and dismissed security issues.

It doesnotshow 2FA options, access control settings, or configuration panels for GHAS itself. Those belong to account or organization-level settings.

In a repository'sSecuritytab, you can view:

Secret scanning alerts: Exposed credentials or tokens

Dependabot alerts: Vulnerable dependencies from the advisory database

Code scanning alerts: Vulnerabilities in code detected via static analysis (e.g., CodeQL)

Youwon’t seegeneral "security status alerts" (not a formal category) or permission-related alerts here.

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.

To detect and blockvulnerable dependencies before merge, developers should use theDependency Review GitHub Actionin their pull request workflows. It scans all proposed dependency changes and flags any packages with known vulnerabilities.

This is apreventative measureduring development, unlike Dependabot, which reactsafter the fact.

Secrets committed and then deleted are still accessible in therepository’s Git history. To locate them, navigate to theCommitstab. GitHub's secret scanning can detect secrets in both current and historical commits, which is why remediation should also includerevoking the secret, not just removing it from the latest code.

In a workflow: GitHub Actions workflows are the most common place for CodeQL code scanning. The codeql-analysis.yml defines how the analysis runs and when it triggers.

In an external CI system: GitHub allows you to run CodeQL analysis outside of GitHub Actions. Once complete, the results can be uploaded using the upload-sarif action to make alerts visible in the repository.

You cannot run or trigger analysis from third-party repositories directly, and theFiles changed tabin pull requests only shows diff — not analysis results.

After generating an alert for a vulnerable dependency, Dependabot automatically attempts to create a pull request to upgrade that dependency to theminimum required secure version—if a fix is available and compatible with your project.

This automated PR helps teams fix vulnerabilities quickly with minimal manual intervention. You can also configure update behaviors using dependabot.yml, but in the default state, PR creation is automatic.

Secret scanning is a feature provided by GitHub that scans the contents of your GitHub repositories for known types of secrets, such as API keys and tokens. It operates within the GitHub environment and does not scan external systems, services, or repositories outside of GitHub. Its primary function is to prevent the accidental exposure of sensitive information within your GitHub-hosted code.​

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.

In aquery suite(a .qls file), the **query** key is used to specify the paths to one or more .ql files that should be included in the suite.

Example:

- query: path/to/query.ql

qls is the file format.

qlpack is used for packaging queries, not in suite syntax.

Comprehensive and Detailed Explanation:

When GitHub identifies a vulnerable dependency in a repository with Dependabot alerts enabled, it performs the following actions:​

Generates a Dependabot alert: The alert is displayed on the repository's Security tab, providing details about the vulnerability and affected dependency.​

Notifies repository maintainers: By default, GitHub notifies users with write, maintain, or admin permissions about new Dependabot alerts.​

GitHub Docs

These actions ensure that responsible parties are informed promptly to address the vulnerability.​

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.

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.​

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.

Dependabot security updatesareautomated pull requeststriggered when GitHub detects avulnerabilityin a dependency listed in your manifest or lockfile. These PRs upgrade the dependency to theminimum safe versionthat fixes the vulnerability.

This is separate from regular updates (which keep versions current even if not vulnerable).