__mitmproxy__ has a powerful scripting API that allows you to modify flows on-the-fly or rewrite previously saved flows locally. The mitmproxy scripting API is event driven - a script is simply a Python module that exposes a set of event methods. Here's a complete mitmproxy script that adds a new header to every HTTP response before it is returned to the client: $!example("examples/add_header.py")!$ The first argument to each event method is an instance of ScriptContext that lets the script interact with the global mitmproxy state. The __response__ event also gets an instance of Flow, which we can use to manipulate the response itself. We can now run this script using mitmdump or mitmproxy as follows:
> mitmdump -s add_header.pyThe new header will be added to all responses passing through the proxy. ## Events ### start(ScriptContext, argv) Called once on startup, before any other events. ### clientconnect(ScriptContext, ClientConnect) Called when a client initiates a connection to the proxy. Note that a connection can correspond to multiple HTTP requests. ### serverconnect(ScriptContext, ServerConnection) Called when the proxy initiates a connection to the target server. Note that a connection can correspond to multiple HTTP requests. ### request(ScriptContext, Flow) Called when a client request has been received. The __Flow__ object is guaranteed to have a non-None __request__ attribute. ### responseheaders(ScriptContext, Flow) Called when the headers of a server response have been received. This will always be called before the response hook. The __Flow__ object is guaranteed to have non-None __request__ and __response__ attributes. __response.content__ will not be valid, as the response body has not been read yet. ### response(ScriptContext, Flow) Called when a server response has been received. The __Flow__ object is guaranteed to have non-None __request__ and __response__ attributes. Note that if response streaming is enabled for this response, __response.content__ will not contain the response body. ### error(ScriptContext, Flow) Called when a flow error has occurred, e.g. invalid server responses, or interrupted connections. This is distinct from a valid server HTTP error response, which is simply a response with an HTTP error code. The __Flow__ object is guaranteed to have non-None __request__ and __error__ attributes. ### clientdisconnect(ScriptContext, ClientDisconnect) Called when a client disconnects from the proxy. ### done(ScriptContext) Called once on script shutdown, after any other events. ## API The main classes you will deal with in writing mitmproxy scripts are:
libmproxy.proxy.server.ConnectionHandler | Describes a proxy client connection session. Always has a client_conn attribute, might have a server_conn attribute. |
---|---|
libmproxy.proxy.connection.ClientConnection | Describes a client connection. |
libmproxy.proxy.connection.ServerConnection | Describes a server connection. |
libmproxy.protocol.primitives.Error | A communications error. |
libmproxy.protocol.http.HTTPFlow | A collection of objects representing a single HTTP transaction. |
libmproxy.flow.ODict | A dictionary-like object for managing sets of key/value data. There is also a variant called CaselessODict that ignores key case for some calls (used mainly for headers). |
libmproxy.protocol.http.HTTPResponse | An HTTP response. |
libmproxy.protocol.http.HTTPRequest | An HTTP request. |
libmproxy.script.ScriptContext | A handle for interacting with mitmproxy's from within scripts. |
libmproxy.certutils.SSLCert | Exposes information SSL certificates. |
> pydoc libmproxy.protocol.http.HTTPRequest## Running scripts in parallel We have a single flow primitive, so when a script is handling something, other requests block. While that's a very desirable behaviour under some circumstances, scripts can be run threaded by using the
libmproxy.script.concurrent
decorator.
$!example("examples/nonblocking.py")!$
## Make scripts configurable with arguments
Sometimes, you want to pass runtime arguments to the inline script. This can be simply done by surrounding the script call with quotes, e.g.
mitmdump -s "script.py --foo 42"
. The arguments are then exposed in the start event:
$!example("examples/modify_response_body.py")!$
## Running scripts on saved flows
Sometimes, we want to run a script on __Flow__ objects that are already
complete. This happens when you start a script, and then load a saved set of
flows from a file (see the "scripted data transformation" example on the
[mitmdump](@!urlTo("mitmdump.html")!@) page). It also happens when you run a
one-shot script on a single flow through the _|_ (pipe) shortcut in mitmproxy.
In this case, there are no client connections, and the events are run in the
following order: __start__, __request__, __response__, __error__, __done__. If
the flow doesn't have a __response__ or __error__ associated with it, the
matching event will be skipped.
## Spaces in the script path
By default, spaces are interpreted as separator between the inline script and its arguments (e.g. -s "foo.py
42"
). Consequently, the script path needs to be wrapped in a separate pair of quotes if it contains spaces:
-s "'./foo bar/baz.py' 42"
.