Mitigation Strategy: Disable SimpleCov in Production Environments
- Description:
- Step 1: Locate the SimpleCov initialization code in your project (e.g.,
spec_helper.rb
,rails_helper.rb
, or a dedicated configuration file). - Step 2: Implement conditional loading of SimpleCov based on the environment. Use environment variables or configuration settings to ensure SimpleCov is only initialized in development, testing, and CI/CD environments, and never in production.
- Example for Ruby/Rails: Wrap
SimpleCov.start
withinif !Rails.env.production?
. - Example for general Ruby: Use
if ENV['RACK_ENV'] != 'production'
.
- Example for Ruby/Rails: Wrap
- Step 3: Verify through testing and deployment procedures that SimpleCov initialization is effectively skipped in production deployments.
- Step 4: Add automated checks in your CI/CD pipeline to confirm SimpleCov is disabled in production builds.
- Step 1: Locate the SimpleCov initialization code in your project (e.g.,
- Threats Mitigated:
- Performance Degradation in Production (High Severity): SimpleCov's code instrumentation and data collection significantly slow down production applications.
- Operational Instability in Production (Medium Severity): Unexpected errors within SimpleCov in production can lead to application crashes or instability.
- Impact:
- Performance Degradation in Production: Significantly Reduces. Eliminates performance overhead in production.
- Operational Instability in Production: Significantly Reduces. Prevents potential instability from SimpleCov in production.
- Currently Implemented (Example Project Scenario): Likely Implemented. Disabling in production is a common best practice.
- Missing Implementation (Example Project Scenario): Older projects or projects without explicit environment-based configuration for SimpleCov.
Mitigation Strategy: Optimize SimpleCov Configuration for Performance and Scope
- Description:
- Step 1: Review your SimpleCov configuration file or block (
SimpleCov.configure
). - Step 2: Utilize
add_filter
to exclude unnecessary files and directories from coverage analysis. Focus on excluding:- Test files directories (e.g.,
spec/
,test/
). - Vendor directories (e.g.,
vendor/
). - Generated code directories.
- Migration directories.
- Any code not directly relevant to core application logic.
- Test files directories (e.g.,
- Step 3: Consider using faster SimpleCov formatters if report generation time is a bottleneck.
- Step 4: Regularly review and update filters as the project evolves to maintain optimal performance and relevant coverage scope.
- Step 1: Review your SimpleCov configuration file or block (
- Threats Mitigated:
- Performance Degradation in Development/Testing (Medium Severity): Slow coverage analysis slows down development and testing cycles.
- Resource Consumption in Development/Testing (Low Severity): Unnecessary resource usage during development and testing.
- Impact:
- Performance Degradation in Development/Testing: Partially Reduces. Improves performance by limiting analysis scope.
- Resource Consumption in Development/Testing: Partially Reduces. Reduces resource usage.
- Currently Implemented (Example Project Scenario): Partially Implemented. Basic filters for
vendor/
and test directories might exist. - Missing Implementation (Example Project Scenario): Fine-grained filters for specific files or patterns, formatter optimization, and regular configuration review.
Mitigation Strategy: Carefully Configure File Inclusion and Exclusion to Prevent Sensitive Data Tracking
- Description:
- Step 1: Scrutinize your SimpleCov configuration, paying close attention to file inclusion and exclusion rules defined by
SimpleCov.root
,add_group
, andadd_filter
. - Step 2: Verify that only intended source code files are included for coverage.
- Step 3: Use
add_filter
to explicitly exclude files that might contain sensitive data or should not be tracked, such as:- Configuration files (e.g., database credentials, API keys if stored in files).
- Data fixture files or seed data that might contain sensitive examples.
- Any files not intended for coverage analysis that could inadvertently expose sensitive information if included in reports.
- Step 4: Regularly audit the SimpleCov configuration, especially when adding new files or directories, to ensure sensitive data is not inadvertently tracked.
- Step 1: Scrutinize your SimpleCov configuration, paying close attention to file inclusion and exclusion rules defined by
- Threats Mitigated:
- Accidental Inclusion of Sensitive Data in Coverage Reports (Medium Severity): Sensitive data from configuration or data files could be exposed in reports.
- Impact:
- Accidental Inclusion of Sensitive Data in Coverage Reports: Significantly Reduces. Prevents sensitive data from being included in reports by explicit exclusion.
- Currently Implemented (Example Project Scenario): Partially Implemented. Basic source code inclusion is likely configured.
- Missing Implementation (Example Project Scenario): Explicitly filtering sensitive configuration files, data fixtures, or other non-code files that might reside within the project.
Mitigation Strategy: Regularly Update SimpleCov and its Dependencies
- Description:
- Step 1: Manage SimpleCov and its dependencies using your project's dependency management tool (e.g., Bundler for Ruby).
- Step 2: Regularly check for updates to SimpleCov and its dependencies using dependency scanning tools (e.g.,
bundle audit
) or by monitoring security advisories. - Step 3: Update SimpleCov and its dependencies to the latest stable versions promptly, especially when security vulnerabilities are announced and patched.
- Step 4: Incorporate dependency updates into your regular project maintenance and security patching procedures.
- Threats Mitigated:
- Vulnerabilities in SimpleCov or Dependencies (Medium to High Severity): Outdated versions may contain exploitable security flaws.
- Supply Chain Attacks (Low to Medium Severity): Compromised dependencies could introduce malicious code.
- Impact:
- Vulnerabilities in SimpleCov or Dependencies: Significantly Reduces. Ensures you benefit from security patches.
- Supply Chain Attacks: Partially Reduces. Reduces the risk window for known vulnerabilities.
- Currently Implemented (Example Project Scenario): Partially Implemented. Dependency management is likely used, but proactive updates and vulnerability scanning might be inconsistent.
- Missing Implementation (Example Project Scenario): Automated dependency vulnerability scanning, scheduled dependency updates, and a clear process for responding to security advisories.