# Stem Docs

## Determine The Exit You’re Using

Lets say you’re using Tor and one day you run into something odd. Maybe a misconfigured relay, or maybe one that’s being malicious. How can you figure out what exit you’re using?

Here’s a simple script that prints information about the exits used to service the requests going through Tor…

    import functools

    from stem import StreamStatus
    from stem.control import EventType, Controller

    def main():
      print("Tracking requests for tor exits. Press 'enter' to end.")
      print("")

      with Controller.from_port() as controller:
        controller.authenticate()

        stream_listener = functools.partial(stream_event, controller)
        controller.add_event_listener(stream_listener, EventType.STREAM)

        raw_input()  # wait for user to press enter

    def stream_event(controller, event):
      if event.status == StreamStatus.SUCCEEDED and event.circ_id:
        circ = controller.get_circuit(event.circ_id)

        exit_fingerprint = circ.path[-1][0]
        exit_relay = controller.get_network_status(exit_fingerprint)

        print("Exit relay for our connection to %s" % (event.target))
        print("  address: %s:%i" % (exit_relay.address, exit_relay.or_port))
        print("  fingerprint: %s" % exit_relay.fingerprint)
        print("  nickname: %s" % exit_relay.nickname)
        print("  locale: %s" % controller.get_info("ip-to-country/%s" % exit_relay.address, 'unknown'))
        print("")

    if __name__ == '__main__':
      main()

Now if you make a request over Tor…

    % curl --socks4a 127.0.0.1:9050 google.com
    <HTML><HEAD><meta http-equiv="content-type" content="text/html;charset=utf-8">
    <TITLE>301 Moved</TITLE></HEAD><BODY>
    <H1>301 Moved</H1>
    The document has moved
    <A HREF="http://www.google.com/">here</A>.
    </BODY></HTML>

… this script will tell you about the exit…

    % python exit_used.py
    Tracking requests for tor exits. Press 'enter' to end.

    Exit relay for our connection to 64.15.112.44:80
      address: 31.172.30.2:443
      fingerprint: A59E1E7C7EAEE083D756EE1FF6EC31CA3D8651D7
      nickname: chaoscomputerclub19
      locale: unknown