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215 lines
7.9 KiB
ReStructuredText
215 lines
7.9 KiB
ReStructuredText
.. _inline-scripts:
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Inline Scripts
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==============
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**mitmproxy** has a powerful scripting API that allows you to modify flows
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on-the-fly or rewrite previously saved flows locally.
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The mitmproxy scripting API is event driven - a script is simply a Python
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module that exposes a set of event methods. Here's a complete mitmproxy script
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that adds a new header to every HTTP response before it is returned to the
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client:
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.. literalinclude:: ../../examples/add_header.py
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:caption: examples/add_header.py
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:language: python
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The first argument to each event method is an instance of
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:py:class:`~libmproxy.script.ScriptContext` that lets the script interact with the global mitmproxy
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state. The **response** event also gets an instance of :py:class:`~libmproxy.script.ScriptContext`,
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which we can use to manipulate the response itself.
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We can now run this script using mitmdump or mitmproxy as follows:
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>>> mitmdump -s add_header.py
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The new header will be added to all responses passing through the proxy.
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Examples
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--------
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mitmproxy comes with a variety of example inline scripts, which demonstrate many basic tasks.
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We encourage you to either browse them locally or on `GitHub`_.
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Events
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------
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.. TODO: Split this into Connection, HTTP and TCP events once we have TCP events.
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The ``context`` argument passed to each event method is always a
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:py:class:`~libmproxy.script.ScriptContext` instance. It is guaranteed to be the same object
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for the scripts lifetime and is not shared between multiple inline scripts. You can safely use it
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to store any form of state you require.
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Events are listed in the order they usually occur.
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.. py:function:: start(context, argv)
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Called once on startup, before any other events.
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:param List[str] argv: The inline scripts' arguments.
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For example, ``mitmproxy -s 'example.py --foo 42'`` sets argv to ``["--foo", "42"]``.
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.. py:function:: clientconnect(context, root_layer)
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Called when a client initiates a connection to the proxy. Note that
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a connection can correspond to multiple HTTP requests.
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.. versionchanged:: 0.14
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:param Layer root_layer: The root layer (see :ref:`protocols` for an explanation what the root
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layer is), which provides transparent access to all attributes of the
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:py:class:`~libmproxy.proxy.RootContext`. For example, ``root_layer.client_conn.address``
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gives the remote address of the connecting client.
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.. py:function:: request(context, flow)
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Called when a client request has been received. The ``flow`` object is
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guaranteed to have a non-None ``request`` attribute.
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:param HTTPFlow flow: The flow containing the request which has been received.
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The object is guaranteed to have a non-None ``request`` attribute.
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.. py:function:: serverconnect(context, server_conn)
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Called before the proxy initiates a connection to the target server. Note that
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a connection can correspond to multiple HTTP requests.
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:param ServerConnection server_conn: The server connection object. It is guaranteed to have a
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non-None ``address`` attribute.
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.. py:function:: responseheaders(context, flow)
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Called when the headers of a server response have been received.
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This will always be called before the response hook.
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:param HTTPFlow flow: The flow containing the request and response.
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The object is guaranteed to have non-None ``request`` and
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``response`` attributes. ``response.content`` will be ``None``,
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as the response body has not been read yet.
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.. py:function:: response(context, flow)
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Called when a server response has been received.
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:param HTTPFlow flow: The flow containing the request and response.
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The object is guaranteed to have non-None ``request`` and
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``response`` attributes. ``response.body`` will contain the raw response body,
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unless response streaming has been enabled.
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.. py:function:: error(context, flow)
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Called when a flow error has occurred, e.g. invalid server responses, or
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interrupted connections. This is distinct from a valid server HTTP error
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response, which is simply a response with an HTTP error code.
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:param HTTPFlow flow: The flow containing the error.
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It is guaranteed to have non-None ``error`` attribute.
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.. py:function:: serverdisconnect(context, server_conn)
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Called when the proxy has closed the server connection.
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.. versionadded:: 0.14
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:param ServerConnection server_conn: see :py:func:`serverconnect`
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.. py:function:: clientdisconnect(context, root_layer)
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Called when a client disconnects from the proxy.
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.. versionchanged:: 0.14
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:param Layer root_layer: see :py:func:`clientconnect`
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.. py:function:: done(context)
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Called once on script shutdown, after any other events.
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API
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---
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The canonical API documentation is the code, which you can browse here, locally or on `GitHub`_.
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*Use the Source, Luke!*
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The main classes you will deal with in writing mitmproxy scripts are:
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:py:class:`~libmproxy.script.ScriptContext`
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- A handle for interacting with mitmproxy's Flow Master from within scripts.
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:py:class:`~libmproxy.models.ClientConnection`
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- Describes a client connection.
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:py:class:`~libmproxy.models.ServerConnection`
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- Describes a server connection.
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:py:class:`~libmproxy.models.HTTPFlow`
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- A collection of objects representing a single HTTP transaction.
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:py:class:`~libmproxy.models.HTTPRequest`
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- An HTTP request.
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:py:class:`~libmproxy.models.HTTPResponse`
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- An HTTP response.
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:py:class:`~libmproxy.models.Error`
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- A communications error.
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:py:class:`netlib.http.Headers`
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- A dictionary-like object for managing HTTP headers.
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:py:class:`netlib.certutils.SSLCert`
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- Exposes information SSL certificates.
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:py:class:`libmproxy.flow.FlowMaster`
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- The "heart" of libmproxy, usually subclassed as :py:class:`libmproxy.dump.DumpMaster` or
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:py:class:`libmproxy.console.ConsoleMaster`.
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Script Context
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--------------
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.. autoclass:: libmproxy.script.ScriptContext
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:members:
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:undoc-members:
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Running scripts in parallel
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---------------------------
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We have a single flow primitive, so when a script is blocking, other requests are not processed.
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While that's usually a very desirable behaviour, blocking scripts can be run threaded by using the
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:py:obj:`libmproxy.script.concurrent` decorator.
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**If your script does not block, you should avoid the overhead of the decorator.**
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.. literalinclude:: ../../examples/nonblocking.py
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:caption: examples/nonblocking.py
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:language: python
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Make scripts configurable with arguments
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----------------------------------------
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Sometimes, you want to pass runtime arguments to the inline script. This can be simply done by
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surrounding the script call with quotes, e.g. ```mitmdump -s 'script.py --foo 42'``.
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The arguments are then exposed in the start event:
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.. literalinclude:: ../../examples/modify_response_body.py
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:caption: examples/modify_response_body.py
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:language: python
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Running scripts on saved flows
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------------------------------
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Sometimes, we want to run a script on :py:class:`~libmproxy.models.Flow` objects that are already
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complete. This happens when you start a script, and then load a saved set of flows from a file
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(see the "scripted data transformation" example `here <https://mitmproxy.org/doc/mitmdump.html>`_).
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It also happens when you run a one-shot script on a single flow through the ``|`` (pipe) shortcut
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in mitmproxy.
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In this case, there are no client connections, and the events are run in the following order:
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**start**, **request**, **responseheaders**, **response**, **error**, **done**.
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If the flow doesn't have a **response** or **error** associated with it, the matching events will
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be skipped.
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Spaces in the script path
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-------------------------
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By default, spaces are interpreted as a separator between the inline script and its arguments
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(e.g. ``-s 'foo.py 42'``). Consequently, the script path needs to be wrapped in a separate pair of
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quotes if it contains spaces: ``-s '\'./foo bar/baz.py\' 42'``.
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.. _GitHub: https://github.com/mitmproxy/mitmproxy
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