GitHub GitHub-Advanced-Security Dumps

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.​

Ifautobuildfails (which attempts to automatically detect how to build your project), you shoulddisable itin your workflow andreplace it with explicit build commands, using steps like run: make or run: ./gradlew build.

This ensures CodeQL can still extract and analyze the code correctly.

You can customize CodeQL scanning by including additionalquery packsor by specifying individualqueries:

Packs: These are reusable collections of CodeQL queries bundled into a single package.

Queries: You can point to specific files or directories containing .ql queries to include in the analysis.

github/codeql refers to a pack by name but is not a method or field. Scope is not a valid field used for configuration in this context.

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.

Comprehensive and Detailed Explanation:

When setting up CodeQL analysis for compiled languages, there are two primary methods to buildyour code:​

GitHub Docs

Autobuild: CodeQL attempts to automatically build your codebase using the most likely build method. This is suitable for standard build processes.​

GitHub Docs

Custom Build Steps: For complex or non-standard build processes, you can implement custom build steps by specifying explicit build commands in your workflow. This provides greater control over the build process.​

GitHub Docs

The init action initializes the CodeQL analysis but does not build the code. The jobs.analyze.runs-on specifies the operating system for the runner but is not directly related to building the code. Uploading compiled binaries is not a method supported by CodeQL for analysis.​

Thefirst stepwhen you receive a secret scanning alert is torevoke the secretif it is still valid. This ensures the secret can no longer be used maliciously. Only after revoking it should you proceed to remove it from the code history and apply other mitigation steps.

Simply deleting the secret from the code doesnotremove the risk if it hasn’t been revoked — especially since it may already be exposed in commit history.

Secret validationchecks whether a secret found in your repository is still valid and active with the issuing provider (e.g., AWS, GitHub, Stripe). If a secret is confirmed to be active, the alert ismarked as verified, which means it's considered ahigh-priority issuebecause it presents an immediate security risk.

This helps teams respond faster tovalid, exploitablesecrets rather than wasting time on expired or fake tokens.

When using a SARIF-compatible tool within GitHub Actions, it's necessary to explicitly add a step in your workflow to upload the analysis results. This is typically done using the upload-sarif action, which takes the SARIF file generated by your tool and uploads it to GitHub for processing and display in the Security tab. Without this step, the results won't be available in GitHub's code scanning interface.​

Comprehensive and Detailed Explanation:

By default, users with write access to a repository have the ability to merge pull requests, including those created by Dependabot for security updates. This access level allows contributors to manage and integrate changes, ensuring that vulnerabilities are addressed promptly.​

Users with only read access cannot merge pull requests, and enterprise administrators do not automatically have merge rights unless they have write or higher permissions on the specific repository.​

To exclude specific files or directories from being scanned by secret scanning in GitHub Actions, you can use thepaths-ignore:key within your YAML workflow file.

This tells GitHub toignore specified pathswhen scanning for secrets, which can be useful for excluding test data or non-sensitive mock content.

Other options listed are invalid:

branches-ignore: excludes branches, not files.

decrypt_secret.sh is not a YAML key.

secret scanning.yml is not a recognized filename for configuration.

Query suite definitions in CodeQL are stored using the .qls file extension. A query suite defines a collection of queries to be run during an analysis and allows for grouping them based on categories like language, security relevance, or custom filters.

In contrast:

.ql files are individual queries.

.qll files are libraries used by .ql queries.

.yml is used for workflows, not query suites.

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.

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.

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.

For compiled languages, CodeQL performs extraction bymonitoring the normal build process. This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.

This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.

When defining a custom pattern for secret scanning, two key fields are required:

Name of the pattern: A unique label to identify the pattern

Secret format: A regular expression that defines what the secret looks like (e.g., token format)

You can optionally specifyadditional match requirements(like required context keywords), but they’re not mandatory. Listing repositories is also not part of the required fields during pattern creation.

Whenmultiple instances of the same secret valueappear in a repository,only one alertis generated. Secret scanning works by identifying exposed credentials and token patterns, and it groups identical matches into asingle alertto reduce noise and avoid duplication.

This makes triaging easier and helps teams focus on remediating the actual exposed credential rather than reviewing multiple redundant alerts.

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 change the threshold that defines whether a pull request fails due to code scanning alerts (such as blocking merges based on severity), the user must haveAdminaccess on the repository. This is because modifying these settings falls under repository configuration privileges.

Users with Write, Maintain, or Triage roles do not have the required access to modify rulesets or status check policies.

A security policy is defined by a SECURITY.md file in the root of your repository or .github/ directory. This file informs contributors and security researchers about how to responsibly report vulnerabilities. It improves your project’s transparency and ensures timely communication and mitigation of any reported issues.

Adding this file also enables a “Report a vulnerability” button in the repository’s Security tab.

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.

By default,users with Write, Maintain, or Admin permissionswill receive notifications for newDependabot alerts. However,Write permissionis theminimum levelneeded to be automatically notified. Users with only Read access do not receive alerts unless added explicitly.