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attack-surface.md

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Attack Surface Analysis for kif-framework/kif

Attack Surface: Malicious Test Code Injection/Execution

  • Description: Attackers inject malicious code into test suites, which KIF executes within the application's context.
  • How KIF contributes: KIF's core function is to execute test code within the application environment, making it the execution vehicle for injected malicious code.
  • Example: An attacker compromises the test code repository and modifies a KIF test to include code that exfiltrates user database credentials from environment variables during test execution. When the CI/CD pipeline runs the tests using KIF, the malicious code executes within the application, sending credentials to the attacker.
  • Impact: Data breach, complete application compromise, remote code execution, denial of service.
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Secure Test Code Repository: Implement robust access controls, multi-factor authentication, and comprehensive audit logging for the test code repository.
    • Mandatory Code Review for Test Code: Enforce rigorous code review processes for all test code changes, treating test code with the same security scrutiny as production code.
    • Input Sanitization in Tests: If test data originates from external or untrusted sources, strictly sanitize and validate it within test code to prevent injection vulnerabilities.
    • Isolated and Immutable Test Environment: Execute tests in a dedicated, isolated environment with minimal access to production systems and data. Utilize immutable infrastructure for test environments to prevent persistent compromises and simplify environment resets.
    • CI/CD Pipeline Security Hardening: Secure the CI/CD pipeline to prevent unauthorized modifications to test execution processes, including using signed commits and pipeline-as-code principles.

Attack Surface: Exposure of Sensitive Data in Test Logs and Reports

  • Description: Test logs, screenshots, and reports generated by KIF tests may inadvertently contain sensitive data, leading to exposure if not properly secured.
  • How KIF contributes: KIF tests interact with the UI and application data, and its logging and reporting mechanisms can capture this sensitive information by default.
  • Example: A KIF test captures screenshots of a user profile page during testing, inadvertently including personally identifiable information (PII) displayed on the screen in the screenshots. These screenshots are then stored in an unsecured test results directory accessible to unauthorized users.
  • Impact: Data leak, privacy violations, regulatory compliance breaches, reputational damage.
  • Risk Severity: High
  • Mitigation Strategies:
    • Implement Secure Test Result Storage: Enforce strict access controls and utilize encryption for all test result storage locations, ensuring only authorized personnel can access logs and reports.
    • Automated Data Redaction in Logs/Reports: Implement automated mechanisms to redact or mask sensitive data (like passwords, API keys, PII) in test logs and reports before storage or sharing.
    • Minimize Sensitive Data Logging: Minimize the logging of sensitive data during tests. Avoid capturing or logging data that is not strictly necessary for debugging or test analysis.
    • Secure CI/CD Pipeline Output Handling: Ensure secure configuration of CI/CD pipelines to prevent unauthorized access to test outputs and implement secure artifact management practices.
    • Regular Security Audits of Logging Practices: Conduct regular security audits of test logging and reporting practices to identify and remediate any unintentional exposure of sensitive data.

Attack Surface: Vulnerabilities in KIF Framework Dependencies

  • Description: KIF relies on third-party libraries and dependencies. Known vulnerabilities in these dependencies can indirectly create attack vectors for applications using KIF.
  • How KIF contributes: By integrating KIF, applications inherit KIF's dependency chain, potentially including vulnerable libraries that can be exploited.
  • Example: A critical remote code execution vulnerability is discovered in a widely used networking library that KIF depends on (transitively). If the application uses an outdated version of KIF that relies on the vulnerable library version, the application becomes indirectly vulnerable to remote code execution through KIF's dependencies.
  • Impact: Remote code execution, denial of service, information disclosure, depending on the nature of the dependency vulnerability.
  • Risk Severity: High to Critical (depending on the severity of the dependency vulnerability).
  • Mitigation Strategies:
    • Maintain Up-to-Date KIF and Dependencies: Proactively keep KIF and all its dependencies updated to the latest versions to benefit from security patches and vulnerability fixes.
    • Automated Dependency Scanning and Vulnerability Management: Implement automated dependency scanning tools integrated into the development and CI/CD pipelines to continuously identify and alert on known vulnerabilities in KIF's dependencies.
    • Establish a Vulnerability Remediation Process: Define and implement a clear process for promptly addressing and patching identified dependency vulnerabilities, including prioritizing critical and high severity issues.
    • Proactive Monitoring of Security Advisories: Regularly monitor security advisories and vulnerability databases related to KIF and its dependencies to stay informed about potential threats and necessary updates.
    • Software Composition Analysis (SCA): Integrate SCA tools into the development lifecycle to gain visibility into the software bill of materials and manage open-source risks effectively.