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Mitigation Strategies Analysis for touchlab/kermit

Mitigation Strategy: Implement Strict Log Level Management

  • Description:
    1. Define Kermit Log Levels for Environments: Establish clear guidelines for using Kermit's log levels (Verbose, Debug, Info, Warn, Error, Assert) in different environments (Development, Staging, Production). Prioritize higher levels (e.g., Warn, Error) for production to minimize verbosity.
    2. Environment-Specific Kermit Configuration: Leverage build configurations, environment variables, or configuration files to dynamically set the minimum log level for Kermit based on the deployment environment. This ensures verbose logging is enabled only where intended (e.g., development).
    3. Code Reviews for Kermit Log Level Usage: Incorporate checks for appropriate Kermit log level usage into code reviews. Ensure developers are consciously choosing the correct level and not defaulting to overly verbose levels in production-bound code.
    4. Runtime Kermit Level Adjustment (Controlled): Optionally, implement a mechanism to adjust Kermit's log level at runtime for debugging in non-production environments. This should be secured and disabled or restricted in production deployments.
  • List of Threats Mitigated:
    • Information Disclosure (High Severity): Accidental exposure of sensitive application details due to overly verbose Kermit logging in production.
  • Impact:
    • Information Disclosure: Significantly reduces the risk by controlling the verbosity of Kermit logs in production, limiting the potential for sensitive data leaks.
  • Currently Implemented: Partial - Environment-specific configuration using build variants exists, but explicit Kermit log level management per environment is not strictly defined or enforced.
  • Missing Implementation:
    • Formal documentation of environment-specific Kermit log level guidelines.
    • Automated checks or linting rules to enforce Kermit log level usage during development.
    • Secure runtime Kermit log level adjustment mechanism for non-production.

Mitigation Strategy: Sanitize and Redact Sensitive Data Before Logging with Kermit

  • Description:
    1. Identify Sensitive Data for Kermit Logging: Pinpoint all data types considered sensitive that might be passed to Kermit for logging (e.g., PII, API keys, internal paths).
    2. Develop Kermit Sanitization Functions/Interceptors: Create reusable utility functions or interceptors specifically designed to sanitize sensitive data before it's passed to Kermit's logging functions. Techniques include redaction, hashing, or truncation.
    3. Apply Sanitization to Kermit Logging Statements: Consistently use these sanitization functions in code before calling Kermit's logging methods whenever sensitive data might be included in the log message.
    4. Code Review Focus on Kermit Logging Sanitization: During code reviews, specifically examine Kermit logging statements to verify that sensitive data is being properly sanitized before being logged via Kermit.
  • List of Threats Mitigated:
    • Information Disclosure (High Severity): Directly logging sensitive data through Kermit, leading to exposure in log outputs.
  • Impact:
    • Information Disclosure: Significantly reduces the risk of sensitive data leaks in Kermit logs by proactively sanitizing data before it reaches the logging system.
  • Currently Implemented: No - No systematic sanitization of data before using Kermit for logging is currently implemented. Reliance is on developer awareness.
  • Missing Implementation:
    • Identification of sensitive data types relevant to Kermit logging.
    • Development of Kermit-specific sanitization utility functions or interceptors.
    • Integration of sanitization into Kermit logging calls throughout the application.
    • Code review checklist item for Kermit logging sanitization.

Mitigation Strategy: Secure Configuration of Kermit Sinks

  • Description:
    1. Kermit Sink Security Review: For each Kermit sink configured (e.g., file sink, network sink, crash reporting sink), conduct a security review of its specific configuration within the Kermit setup.
    2. Secure Protocols for Kermit Network Sinks: If using network sinks with Kermit to send logs remotely, ensure secure protocols (HTTPS, TLS) are configured for Kermit's network communication to protect log data in transit.
    3. Authentication for Kermit Network Sinks: If Kermit is configured to use network sinks requiring authentication, ensure strong authentication mechanisms are properly configured within Kermit's sink setup.
    4. Kermit File Sink Permissions: When using file sinks with Kermit, verify that the directory and file permissions configured for Kermit's file output are appropriately restrictive.
    5. Third-Party Kermit Sink Security: If integrating Kermit with third-party logging services via custom sinks or integrations, thoroughly review the security implications of the Kermit integration and the third-party service's security posture.
  • List of Threats Mitigated:
    • Information Disclosure (Medium Severity): Insecure transmission of Kermit logs over networks or misconfigured sink permissions leading to exposure.
    • Log Tampering (Low Severity): Potential for attackers to intercept and modify Kermit logs in transit if insecure protocols are used by Kermit's network sinks.
  • Impact:
    • Information Disclosure: Moderately reduces the risk by securing Kermit's communication channels and output destinations.
    • Log Tampering: Slightly reduces the risk of log manipulation during transmission from Kermit.
  • Currently Implemented: Partially - File sinks are used with basic permissions. Network sinks via Kermit are not currently used. Security review of Kermit sink configurations is not formally conducted.
  • Missing Implementation:
    • Formal security review of all configured Kermit sinks.
    • Implementation of secure protocols and authentication for Kermit network sinks (if used).
    • Regular review of security configurations for third-party services integrated with Kermit.

Mitigation Strategy: Review and Audit Custom Kermit Sinks

  • Description:
    1. Secure Coding for Custom Kermit Sinks: If custom Kermit sinks are developed, strictly adhere to secure coding practices during their development.
    2. Security Code Review of Custom Kermit Sinks: Conduct in-depth security code reviews specifically for all custom Kermit sink implementations. Focus on vulnerabilities within the custom sink's code that could impact log security or application security.
    3. Security Testing of Custom Kermit Sinks: Perform security testing (static analysis, dynamic analysis, unit tests focusing on security aspects) on custom Kermit sinks to proactively identify and fix vulnerabilities within the sink's logic.
    4. Regular Audits of Custom Kermit Sinks: Periodically audit the code and configurations of custom Kermit sinks to ensure they remain secure and aligned with security best practices over time.
  • List of Threats Mitigated:
    • Information Disclosure (Medium to High Severity): Vulnerabilities in custom Kermit sinks leading to unintended exposure of log data or other sensitive information.
    • Code Injection (Medium Severity): Potential for code injection vulnerabilities within custom Kermit sinks if input handling is flawed.
    • Denial of Service (Low to Medium Severity): Resource exhaustion or other vulnerabilities in custom Kermit sinks causing denial of service.
  • Impact:
    • Information Disclosure: Moderately to Significantly reduces risk depending on the severity of vulnerabilities in custom sinks.
    • Code Injection: Moderately reduces risk by identifying and fixing injection flaws in custom sinks.
    • Denial of Service: Slightly to Moderately reduces risk by addressing resource and error handling in custom sinks.
  • Currently Implemented: Not Applicable - No custom Kermit sinks are currently implemented.
  • Missing Implementation:
    • N/A - This becomes relevant if custom Kermit sinks are developed. If planned, secure development practices, code reviews, and security testing for custom sinks will be missing until implemented.