Issue 83

[bugaga45]

No description provided.

[codealive-github-integration]

🔍 Code Review

Hello bugaga45 (@bugaga45)! Thanks for your work on Issue 83. This pull request introduces significant changes to the declareQueue function, enhancing its functionality by providing more detailed queue information. Overall, the changes aim to improve operational visibility, but they also introduce critical considerations regarding API contract stability, security, and testing that need careful attention.

🎯 Key Changes & Highlights

✨ **Enriched Queue Declaration Response**

The declareQueue function now returns a structured JSON object including name, messageCount, and consumerCount. This provides valuable operational insights directly upon queue declaration, which can be beneficial for monitoring and system understanding.

🚨 Issues & Suggestions

🏗️ API Contract Breaking Change

The `declareQueue` function's return type has changed, potentially breaking existing consumers and lacking sufficient test coverage.

Problem:
The declareQueue function in src/RabbitMQClient.cpp has changed its return contract from a simple queue name string to a structured JSON string. This is a breaking change for any existing callers expecting a simple string, leading to potential runtime failures in dependent modules. Furthermore, the absence of dedicated unit or integration tests for this new JSON return contract increases the risk of regressions or incorrect data being returned in the future, impacting system reliability and maintainability.

Fix:

1. Communicate & Migrate: Clearly communicate this breaking change to all consumers of the RabbitMQClient (especially if exposed externally) and provide a clear migration path. Consider API versioning for future changes.
2. Add Comprehensive Tests: Implement new unit and integration tests for declareQueue. These tests should verify:
   • The returned string is valid JSON.
   • The JSON object contains the expected keys (name, messageCount, consumerCount).
   • The values for these keys accurately reflect the declared queue's state (e.g., messageCount: 0, consumerCount: 0 for a newly declared empty queue).

🔐 Input Validation for Queue Properties

User-supplied `propsJson` lacks clear validation, posing security risks through `headersFromJson`.

Problem:
The propsJson string, derived directly from user input (ctx.stringParamUtf8()), is passed to headersFromJson for parsing into AMQP table arguments. Without robust validation and secure parsing within headersFromJson, malformed or malicious JSON input could lead to critical vulnerabilities such as Denial of Service (DoS) through resource exhaustion (e.g., deeply nested or excessively large JSON payloads) or unintended queue configurations (e.g., manipulating x-message-ttl, x-max-length). The lack of visibility into headersFromJson's implementation raises significant concerns about its resilience.

Fix:

1. Review headersFromJson: Prioritize a thorough security review of the headersFromJson implementation to verify its robustness against malformed and malicious JSON inputs.
2. Implement Secure Parsing: Ensure headersFromJson uses a well-vetted, secure JSON parsing library with comprehensive error handling.
3. Strict Validation: Implement strict schema validation for propsJson. Whitelist allowed AMQP argument keys and validate their data types and value ranges (e.g., x-message-ttl must be a positive integer within reasonable bounds).
4. Resource Limits: Enforce strict size limits on the incoming propsJson string and implement timeouts for the parsing operation.
5. Testing: Develop specific unit and integration tests for headersFromJson covering various malformed, oversized, and deeply nested JSON inputs, as well as valid boundary-case inputs.

🔐 Information Disclosure Risk

The `declareQueue` function now returns sensitive data, requiring strict access control.

Problem:
The modification to declareQueue in src/RabbitMQClient.cpp now exposes sensitive operational details (messageCount, consumerCount) about RabbitMQ queues. If this function is accessible to unauthenticated or unauthorized users, this change introduces a significant information disclosure vulnerability. Attackers could leverage this information for reconnaissance, mapping system architecture, or identifying potential targets for further attacks.

Fix:

1. Enforce Access Control: Ensure robust authentication and authorization checks are performed before the declareQueue function is called. Access to queue declaration and its associated operational metrics should be strictly restricted to privileged users or internal services.
2. Review Public Exposure: If the function is intended for broader access, evaluate if messageCount and consumerCount are truly necessary in the public response, or if a more limited response is appropriate to minimize the attack surface.

✨ Enhance Error Context

Improve `onError` callback logging for better debugging and operational insights.

Why:
The onError callback for declareQueue currently logs only a generic message. Lacking specific context, such as the name of the queue being declared, significantly hinders debugging and operational monitoring in a production environment. Providing more context improves maintainability and reduces time spent diagnosing issues.

How:
Modify the onError lambda in src/RabbitMQClient.cpp to capture and include relevant context in the error message or log. At a minimum, include the name of the queue that failed to declare. For example:

onError([this, name](const char* message) { /* log error with queue name */ });

Consider if other parameters like propsJson or maxPriority would also be useful for debugging.

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🚦 Merge Recommendation

⚠️ Request Changes - Critical security and API contract issues require resolution before merging.

Reasoning

The changes introduce valuable functionality but also critical security vulnerabilities related to input validation and information disclosure, alongside a breaking API contract change that lacks sufficient test coverage. Addressing these issues is paramount to ensure the stability, security, and maintainability of the system.

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