Application security

DETAILS: Tier: Ultimate Offering: GitLab.com, Self-managed, GitLab Dedicated

GitLab can check your application for security vulnerabilities including:

• Unauthorized access.
• Data leaks.
• Denial of Service (DoS) attacks.

For a click-through demo, see Integrating security to the pipeline.

Statistics and details on vulnerabilities are included in the merge request. Providing actionable information before changes are merged enables you to be proactive.

To help with the task of managing and addressing vulnerabilities, GitLab provides a security dashboard you can access from your project or group. For more details, see Security Dashboard.

Application coverage

GitLab analyzes various details of your application, either as part of your CI/CD pipeline or on a schedule. Coverage includes:

• Source code.
• Dependencies in your projects or container images.
• Vulnerabilities in a running web application.
• Infrastructure as code configuration.

Each of the GitLab application security tools is relevant to specific stages of the feature development workflow.

• Commit
  • SAST
  • Secret Detection
  • IaC Scanning
  • Dependency Scanning
  • Coverage-guided Fuzz Testing
• Build
  • Container Scanning
• Test
  • API Security
  • DAST
• Deploy
  • Operational Container Scanning

Source code analysis

Source code analysis occurs on every code commit. Details of vulnerabilities detected are provided in the merge request.

A source code analysis can:

• Analyze source code for vulnerabilities - Static Application Security Testing (SAST).
• Analyze the Git repository's history for secrets - Secret Detection.

Analysis of the running web application

Analysis of the web application occurs on every code commit. As part of the CI/CD pipeline, your application is built, deployed to a test environment, and subjected to the following tests:

• Test application for known attack vectors - Dynamic Application Security Testing (DAST).
• Analysis of APIs for known attack vectors - API Security.
• Analysis of web APIs for unknown bugs and vulnerabilities - API fuzzing.

Dependency analysis

Dependency analysis occurs on every code commit. Your application's dependencies are collated and checked against a database of known vulnerabilities.

Dependency analysis can run:

• At build time - Dependency Scanning.
• For projects that use container images, also after the final container image is built - Container Scanning.

For more details, see Dependency Scanning compared to Container Scanning.

Additionally, dependencies in operational container images can be analyzed for vulnerabilities on a regular schedule or cadence. For more details, see Operational Container Scanning.

Infrastructure analysis

Your application's infrastructure is a source of potential vulnerabilities. To help defend against this, infrastructure analysis occurs on every merge request. Checks are run against:

• Infrastructure as Code (IaC) configuration files that define your application's deployment environment - Infrastructure as Code (IaC) Scanning.

Data privacy

Concerning data privacy in the domain of security scanners, GitLab processes the source code and performs analysis locally on the GitLab Runner. No data is transmitted outside GitLab infrastructure (server and runners).

Our scanners access the internet only to download the latest sets of signatures, rules, and patches. If you prefer the scanners do not access the internet, consider using an offline environment.

Vulnerability scanner maintenance

The following vulnerability scanners and their databases are regularly updated:

In versions of GitLab that use the same major version of the analyzer, you do not have to update them to benefit from the latest vulnerabilities definitions. The security tools are released as Docker images. The vendored job definitions that enable them use major release tags according to semantic versioning. Each new release of the tools overrides these tags. Although in a major analyzer version you automatically get the latest versions of the scanning tools, there are some known issues with this approach.

NOTE: To get the most updated vulnerability information on existing vulnerabilities you may need to re-run the default branch's pipeline.

Security scanning with Auto DevOps

To enable all GitLab Security scanning tools, with default settings, enable Auto DevOps:

• Auto SAST
• Auto Secret Detection
• Auto DAST
• Auto Dependency Scanning
• Auto Container Scanning

While you cannot directly customize Auto DevOps, you can include the Auto DevOps template in your project's .gitlab-ci.yml file.

Security scanning without Auto DevOps

To enable all GitLab security scanning tools with the option of customizing settings, add the GitLab CI/CD templates to your .gitlab-ci.yml file.

WARNING: All customization of GitLab security scanning tools should be tested in a merge request before merging these changes to the default branch. Failure to do so can give unexpected results, including a large number of false positives.

To enable Static Application Security Testing, Dependency Scanning, and Secret Detection, add:

include:
  - template: Jobs/Dependency-Scanning.gitlab-ci.yml
  - template: Jobs/SAST.gitlab-ci.yml
  - template: Jobs/Secret-Detection.gitlab-ci.yml

To enable Dynamic Application Security Testing (DAST) scanning, add the following to your .gitlab-ci.yml. Replace https://staging.example.com with a staging server's web address:

include:
  - template: Jobs/DAST.gitlab-ci.yml

variables:
  DAST_WEBSITE: https://staging.example.com

Override the default registry base address

By default, GitLab security scanners use registry.gitlab.com/security-products as the base address for Docker images. You can override this for most scanners by setting the CI/CD variable SECURE_ANALYZERS_PREFIX to another location. This affects all scanners at once.

The Container Scanning analyzer is an exception, and it does not use the SECURE_ANALYZERS_PREFIX variable. To override its Docker image, see the instructions for Running container scanning in an offline environment.

Template editions

Most of the GitLab application security tools have two template editions:

• Stable: The stable template is the default. It offers a reliable and consistent application security experience. You should use the stable template for most users and projects that require stability and predictable behavior in their CI/CD pipelines.
• Latest: The latest template is for those who want to access and test cutting-edge features. It is identified by the word latest in the template's name. It is not considered stable and may include breaking changes that are planned for the next major release. This template allows you to try new features and updates before they become part of the stable release.

NOTE: Mixing different security template editions can cause both merge request and branch pipelines to run. You should use either the stable or latest edition templates in a project.

Use security scanning tools with merge request pipelines

By default, the application security jobs are configured to run for branch pipelines only. To use them with merge request pipelines, you must reference their latest edition template.

For example, to run both SAST and Dependency Scanning, the following template is used:

include:
  - template: Jobs/Dependency-Scanning.latest.gitlab-ci.yml
  - template: Jobs/SAST.latest.gitlab-ci.yml

Security scanning

For security scans that run in a CI/CD pipeline, the results are determined by:

• Which security scanning jobs run in the pipeline.
• Each job's status.
• Each job's output.

Security jobs in your pipeline

The security scanning jobs that run in a CI/CD pipeline are determined by the following criteria:

1. Inclusion of security scanning templates

   The selection of security scanning jobs is first determined by which templates are included. Templates can be included by using AutoDevOps, a scan execution policy, or the .gitlab-ci.yml configuration file.

2. Evaluation of rules

   Each template has defined rules which determine if the analyzer is run.

   For example, the Secret Detection template includes the following rule. This rule states that secret detection should be run in branch pipelines. In the case of a merge request pipeline, secret detection is not run.

   rules:
     - if: $CI_COMMIT_BRANCH

3. Analyzer logic

   If the template's rules dictate that the job is to be run, a job is created in the pipeline stage specified in the template. However, each analyzer has its own logic which determines if the analyzer itself is to be run.

   For example, if dependency scanning doesn't detect supported files at the default depth, the analyzer is not run and no artifacts are output.

After completing successfully, each job outputs artifacts. These artifacts are processed and the results are available in GitLab. Results are shown only if all jobs are finished, including manual ones. Additionally for some features, results are shown only if the pipeline runs on the default branch.

Job status

Jobs pass if they are able to complete a scan. A pass result does not indicate if they did, or did not, identify findings. The only exception is coverage fuzzing, which fails if it identifies findings.

Jobs fail if they are unable to complete a scan. You can view the pipeline logs for more information.

All jobs are permitted to fail by default. This means that if they fail, it does not fail the pipeline.

If you want to prevent vulnerabilities from being merged, you should do this by adding Security Approvals in Merge Requests which prevents unknown, high or critical findings from being merged without an approval from a specific group of people that you choose.

We do not recommend changing the job allow_failure setting as that fails the entire pipeline.

Job artifacts

A security scan job may generate one or more artifacts. From GitLab 17.0, these artifacts are restricted to the developer role.

The security report artifact generated by the secure analyzer contains all findings it discovers on the target branch, regardless of whether they were previously found, dismissed, or completely new (it puts in everything that it finds).

View security scan information

Security scan information appears in multiple locations and formats:

• Merge request
• Pipeline security tab
• Security dashboard
• Vulnerability report
• GitLab Workflow extension for VS Code

Merge request

DETAILS: Tier: Free, Premium, Ultimate Offering: GitLab.com, Self-managed, GitLab Dedicated

Output of all enabled application security tools is shown in a merge request widget. You can use this information to manage the risk of any issues identified in the source branch.

All tiers

Merge requests which have run security scans let you know that the generated reports are available to download. To download a report, select Download results, and select the desired report.

Security scans produce at least one of these CI artifacts:reports types:

• artifacts:reports:api_fuzzing
• artifacts:reports:container_scanning
• artifacts:reports:coverage_fuzzing
• artifacts:reports:dast
• artifacts:reports:dependency_scanning
• artifacts:reports:sast
• artifacts:reports:secret_detection

In the Free tier, the reports above aren't parsed by GitLab. As a result, the widget does not change based on the results of the security scans.

Ultimate

A merge request contains a security widget which displays a summary of the new results. New results are determined by comparing the findings of the merge request against the findings of the most recent completed pipeline (success, failed, canceled or skipped) for the commit when the feature branch was created from the target branch.

GitLab checks the last 10 pipelines for the commit when the feature branch was created from the target branch to find one with security reports to use in comparison logic. If security scans have not run for the last 10 completed pipelines in the target branch when the feature branch was created, there is no base for comparison. The vulnerabilities from the merge request findings are listed as new in the merge request security widget. We recommend you run a scan of the default (target) branch before enabling feature branch scans for your developers.

The MR security widget considers all supported pipeline sources (based on the CI_PIPELINE_SOURCE variable) when comparing results from both the source and target branches when determining if a merge request requires approval. Pipeline sources webide and parent_pipeline are not supported.

The merge request security widget displays only a subset of the vulnerabilities in the generated JSON artifact because it contains both new and existing findings.

From the merge request security widget, select Expand to unfold the widget, displaying any new and no longer detected (removed) findings by scan type.

For each security report type, the widget displays the first 25 added and 25 fixed findings, sorted by severity. This is determined by comparing the security reports from the source branch and target branch pipelines.

As an example, consider two pipelines with these scan results:

• The source branch pipeline detects two vulnerabilities identified as V1 and V2.
• The target branch pipeline detects two vulnerabilities identified as V1 and V3.
• V2 will show on the merge request widget as "added".
• V3 will show on the merge request widget as "fixed".
• V1 exists on both branches and is not shown on the merge request widget.

To see all findings on the source branch of the merge request, select View full report to go directly to the Security tab in the latest source branch pipeline.

Pipeline security tab

A pipeline's security tab lists all findings from the security reports in the pipeline's job artifacts. For more information see Vulnerabilities in a pipeline.

Security dashboard

The security dashboard shows the vulnerabilities on a project's default branch. Data is updated every 24 hours. Vulnerability count updates resulting from any feature branches introducing new vulnerabilities that are merged to default are included after the daily data refresh.

For more details, see Security Dashboard.

Vulnerability report

The vulnerability report shows the results of the last completed pipeline on the default branch. It is updated on every pipeline completion. All detected vulnerabilities are shown and any previous ones that are no longer detected in the latest scan. Vulnerabilities that are no longer detected may have been remediated or otherwise removed and can be marked as Resolved after proper verification. Vulnerabilities that are no longer detected are denoted with an icon for filtering and review.

By default, the vulnerability report does not show vulnerabilities of dismissed or resolved status so you can focus on open vulnerabilities. You can change the Status filter to see these.

Read more about the Vulnerability report.

GitLab Workflow extension for VS Code

You can now see security findings directly in Visual Studio Code (VS Code) using GitLab Workflow extension for VS Code, just as you would in a merge request.

For more details, see extension page.

Security approvals in merge requests

• Removed the Vulnerability-Check feature in GitLab 15.0.
• Removed the License-Check feature in GitLab 16.0.

You can enforce an additional approval for merge requests that would introduce one of the following security issues:

• A security vulnerability. For more details, read Merge request approval policies.

Using a custom scanning stage

When security scanning is enabled by including CI/CD templates as described in the Security scanning without Auto DevOps section, the scanning jobs use the predefined test stage by default. If you specify a custom stage in your .gitlab-ci.yml file without including a test stage, an error occurs.

For example, the following attempts to use a unit-tests stage:

include:
  - template: Jobs/Dependency-Scanning.gitlab-ci.yml
  - template: Jobs/SAST.gitlab-ci.yml
  - template: Jobs/Secret-Detection.gitlab-ci.yml

stages:
  - unit-tests

custom job:
  stage: unit-tests
  script:
    - echo "custom job"

The above .gitlab-ci.yml causes a linting error:

Unable to create pipeline
- dependency_scanning job: chosen stage test does not exist; available stages are .pre
- unit-tests
- .post

This error appears because the test stage used by the security scanning jobs isn't declared in the .gitlab-ci.yml file. To fix this issue, you can either:

• Add a test stage in your .gitlab-ci.yml:

  include:
    - template: Jobs/Dependency-Scanning.gitlab-ci.yml
    - template: Jobs/SAST.gitlab-ci.yml
    - template: Jobs/Secret-Detection.gitlab-ci.yml
  
  stages:
    - test
    - unit-tests
  
  custom job:
    stage: unit-tests
    script:
      - echo "custom job"

• Override the default stage of each security job. For example, to use a pre-defined stage named unit-tests:

  include:
    - template: Jobs/Dependency-Scanning.gitlab-ci.yml
    - template: Jobs/SAST.gitlab-ci.yml
    - template: Jobs/Secret-Detection.gitlab-ci.yml
  
  stages:
    - unit-tests
  
  dependency_scanning:
    stage: unit-tests
  
  sast:
    stage: unit-tests
  
  .secret-analyzer:
    stage: unit-tests
  
  custom job:
    stage: unit-tests
    script:
      - echo "custom job"

For more information about overriding security jobs, see:

• Overriding SAST jobs.
• Overriding Dependency Scanning jobs.
• Overriding Container Scanning jobs.
• Overriding Secret Detection jobs.
• Overriding DAST jobs.

All the security scanning tools define their stage, so this error can occur with all of them.

Self managed installation options

For self managed installations, you can choose to run most of the GitLab security scanners even when not connected to the internet.

Self managed installations can also run the security scanners on a GitLab Runner running inside OpenShift.

Security report validation

GitLab 15.0 enforces validation of the security report artifacts before ingesting the vulnerabilities. This prevents ingestion of broken vulnerability data into the database. GitLab validates the artifacts against the report schemas, according to the schema version declared in the report.

The pipeline's Security tab lists any report artifacts that failed validation, and the validation error message.

Validation depends on the schema version declared in the security report artifact:

• If your security report specifies a supported schema version, GitLab uses this version to validate.
• If your security report uses a deprecated version, GitLab attempts validation against that version and adds a deprecation warning to the validation result.
• If your security report uses a supported MAJOR-MINOR version of the report schema but the PATCH version doesn't match any vendored versions, GitLab attempts to validate it against latest vendored PATCH version of the schema.
  • Example: security report uses version 14.1.1 but the latest vendored version is 14.1.0. GitLab would validate against schema version 14.1.0.
• If your security report uses a version that is not supported, GitLab attempts to validate it against the earliest schema version available in your installation but doesn't ingest the report.
• If your security report does not specify a schema version, GitLab attempts to validate it against the earliest schema version available in GitLab. Because the version property is required, validation always fails in this case, but other validation errors may also be present.

You can always find supported and deprecated schema versions in the source code.

Interact with findings and vulnerabilities

You can interact with the results of the security scanning tools in several locations:

• Scan information in merge requests
• Project Security Dashboard
• Security pipeline tab
• Group Security Dashboard
• Security Center
• Vulnerability Report
• Vulnerability Pages
• Dependency List

For more details about which findings or vulnerabilities you can view in each of those locations, select the respective link. Each page details the ways in which you can interact with the findings and vulnerabilities. As an example, in most cases findings start out as a detected status.

You have the option to:

• Change the status.
• Create an issue.
• Link it to an existing issue.
• Resolve the vulnerability, if a solution is known.

Security scanning configuration tips

Each GitLab security scanning tool has a default CI/CD configuration file, also known as a template.

When customizing the configuration:

• Include the scanning tool's CI/CD template. Don't copy the content of the template.
• Use the stable version of each template for production workflows. The stable version changes less often, and breaking changes are only made between major GitLab versions. The latest version contains the most recent changes, but may have significant changes between minor GitLab versions.
• Only override values in the template as needed. All other values are inherited from the template.

Enforce scan execution

Security and compliance teams must ensure that security scans:

• Run on a regular basis for all projects.
• Can't be disabled by developers.

GitLab provides two methods of accomplishing this, each with advantages and disadvantages.

• Compliance framework pipelines are recommended when:

  • Scan execution enforcement is required for any scanner that uses a GitLab template, such as SAST IaC, DAST, Dependency Scanning, API Fuzzing, or Coverage-guided Fuzzing.
  • Scan execution enforcement is required for scanners external to GitLab.
  • Scan execution enforcement is required for custom jobs other than security scans.

• Scan execution policies are recommended when:

  • Scan execution enforcement is required for DAST which uses a DAST site or scan profile.
  • Scan execution enforcement is required for SAST, SAST IaC, Secret Detection, Dependency Scanning, or Container Scanning with project-specific variable customizations. To accomplish this, users must create a separate security policy per project.
  • Scans are required to run on a regular, scheduled cadence.

• Either solution can be used equally well when:

  • Scan execution enforcement is required for Container Scanning with no project-specific variable customizations.

Additional details about the differences between the two solutions are outlined below:

Feedback is welcome on our vision for unifying the user experience for these two features

Custom security role

You can create a custom role for security team members who need access to application security features, such as vulnerability management, security policies, or dependencies. This approach allows organizations to follow the Principle of Least Privilege by providing security team members with the privileges they need without promoting them to Developer or Maintainer on a group or project.

For example, the custom security role may have the following permissions:

• Name: Custom Security Role
• Description: Manage vulnerabilities and link security policy projects.
• Base Role: Reporter (or any default role)
• Permissions: admin_vulnerability, read_dependency, manage_security_policy_link