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Attack Surface Analysis for bettererrors/better_errors

Attack Surface: Source Code Disclosure

  • Description: Exposure of the application's underlying source code to unauthorized users.
    • How better_errors Contributes: Displays code snippets directly in the browser when an error occurs.
    • Example: An error in a database query displays the SQL query, including table and column names, and potentially the WHERE clause logic.
    • Impact: Attackers gain insight into application logic, database structure, authentication mechanisms, and potential vulnerabilities.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Development: Ensure better_errors is only in the development group in your Gemfile. Use conditional loading based on environment variables (e.g., RAILS_ENV).
      • Deployment: Double-check deployment scripts to prevent accidental inclusion in production builds. Automate this check.
      • Operations: Regularly audit deployed environments to confirm better_errors is not present.
  • Description: Revelation of sensitive data stored in local variables at the point of an error.
    • How better_errors Contributes: Allows inspection of local variable values within the error context.
    • Example: An error during user authentication displays the (potentially unhashed) password entered by the user, or a session token.
    • Impact: Direct exposure of user credentials, session data, API keys, or other confidential information.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Development: Avoid storing sensitive data directly in local variables, especially in error-prone code. Use secure storage mechanisms. Sanitize or redact sensitive data before storing it in variables.
      • Deployment: Prevent deployment of better_errors to production.
  • Description: Ability for an attacker to execute arbitrary code on the server.
    • How better_errors Contributes: Provides a web-based REPL (Ruby console) allowing code execution in the error context.
    • Example: An attacker triggers an error and uses the REPL to execute system('rm -rf /') or to access and exfiltrate data from the database.
    • Impact: Complete server compromise, data theft, data destruction, and potential lateral movement within the network.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Development: Never deploy better_errors to production. The REPL functionality is inherently dangerous.
      • Deployment: Prevent deployment of better_errors to production.
  • Description: Indirect exposure of environment variables through their use in code displayed by better_errors.
    • How better_errors Contributes: If environment variables are used in code that triggers an error, their values might be revealed through variable inspection or code snippets.
    • Example: An error in a database connection routine displays the database connection string, which was read from an environment variable.
    • Impact: Exposure of sensitive credentials (database passwords, API keys, secret keys), leading to potential system compromise.
    • Risk Severity: High
    • Mitigation Strategies:
      • Development: Avoid directly embedding environment variables in code where they might be exposed. Use configuration objects or helper methods. Never hardcode sensitive values.
      • Deployment: Never deploy better_errors to production.
  • Description: Disclosure of details about the incoming HTTP request that triggered the error.
    • How better_errors Contributes: Displays request headers, parameters, and cookies.
    • Example: An error during a form submission displays the submitted form data (potentially including sensitive user input) and the user's cookies (potentially including session IDs).
    • Impact: Exposure of user input, session tokens, and other potentially sensitive data transmitted in the request.
    • Risk Severity: High
    • Mitigation Strategies:
      • Development: Never deploy better_errors to production. Be mindful of what data is included in HTTP requests and consider using HTTPS to encrypt the entire communication.
      • Development: If you need to inspect request data in development, consider redacting or masking sensitive information before displaying it.