mitmproxy connects traffic inspection with Python automation. Decide in advance how scripts will handle secret headers, user data and repeated operations.
Evaluation approach
Command-line, web and scriptable workflows are available. Filter credentials and personal data when recording requests. Keep test certificates separate from production trust settings.
Application example
Introduce specific response delays in your own test service and observe RASP verification timeouts. Record the user message and the server-side transaction state for the same scenario.
Limits and considerations
Some custom connections may remain outside proxy visibility. An error introduced by an add-on must not be mistaken for normal application behavior.
Targeted traffic observation with Python
mitmproxy add-ons can inspect selected requests and responses in a structured way. Begin with a narrow task, such as reporting whether a field exists in your own test service. Avoid logging raw tokens.
Introducing a proxy changes connection behavior, so include a comparison under normal network conditions. An inability to decrypt traffic does not establish correct API authorization or prove that RASP protects the application.
Checks and decisions
- Version the add-on
- Mask sensitive fields
- Separate delay and error scenarios
For teams familiar with Python, mitmproxy is a capable experimental tool. State exactly what the script changed so that results can be interpreted correctly.
Sources
The primary references above provide the technical basis. Example workflows and evaluation suggestions are this publication’s explanations, not independent test results for a particular product.