Attack Surface: Custom Matcher Logic Errors
- Description: Vulnerabilities (e.g., ReDoS, injection) or logic errors within custom-defined Nimble matchers, leading to incorrect test results or denial of service.
- How Nimble Contributes: Nimble's
Matcher
protocol and related functions enable the creation of custom matchers, placing the responsibility for their security and correctness on the developer. Nimble provides the mechanism, but the vulnerability lies in the developer's implementation. - Example: A custom matcher for validating email addresses using a poorly crafted regular expression could be vulnerable to ReDoS. An attacker could provide a specially crafted email string that causes excessive backtracking, consuming CPU resources and making the test suite unresponsive.
- Impact:
- Incorrect test results (false positives/negatives), masking real vulnerabilities.
- Denial of service (DoS) within the test environment.
- (Extremely unlikely, but theoretically possible) Code execution if the matcher handles untrusted input in an unsafe way.
- Risk Severity: High (due to the potential for DoS and incorrect test results, which can mask real vulnerabilities).
- Mitigation Strategies:
- Thorough Code Review: Rigorously review all custom matcher code, focusing on input validation, regular expression safety (avoiding ReDoS), and potential injection vulnerabilities.
- Input Sanitization: Sanitize all inputs to custom matchers before processing.
- Unit Testing of Matchers: Write comprehensive unit tests specifically for the custom matchers to ensure they behave correctly and handle edge cases.
- Fuzz Testing: Consider fuzz testing custom matchers with a variety of unexpected inputs.
- Limit Matcher Complexity: Keep custom matchers as simple as possible.
Attack Surface: Dependency Vulnerabilities
- Description: Security vulnerabilities present in libraries that Nimble directly depends on.
- How Nimble Contributes: Nimble, as a software package, relies on external libraries. The security of Nimble is therefore tied to the security of its dependencies. Nimble directly uses these dependencies.
- Example: An outdated version of a library used by Nimble for string manipulation might have a known buffer overflow vulnerability.
- Impact:
- Potential for exploitation of the test environment.
- Compromise of test data or infrastructure.
- (In extreme cases, and depending on the nature of the vulnerability) Potential for lateral movement.
- Risk Severity: High (depending on the severity of the vulnerability in the dependency; could be Critical if a readily exploitable RCE exists).
- Mitigation Strategies:
- Dependency Management: Use a dependency management tool (e.g., Swift Package Manager, CocoaPods) to track and update dependencies.
- Vulnerability Scanning: Regularly scan dependencies for known vulnerabilities using tools like OWASP Dependency-Check or Snyk.
- Keep Dependencies Updated: Promptly update dependencies to the latest secure versions.
- Dependency Auditing: Periodically audit dependencies to understand their security posture.
- Supply Chain Security: Consider measures to verify the integrity of dependencies.