Beispiel #1
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def await_future(future):
    """
    This is effectively a technique I use to get around completely blocking
    IDA's mainthread while waiting for a threaded result that may need to make
    use of the execute_sync operators.

    Waiting for a 'future' thread result to come through via this function
    lets other execute_sync actions to slip through (at least Read, Fast).
    """
    interval = 0.02    # the interval which we wait for a response

    # run until the the future arrives
    while True:

        # block for a brief period to see if the future completes
        try:
            return future.get(timeout=interval)

        #
        # the future timed out, so perhaps it is blocked on a request
        # to the mainthread. flush the requests now and try again
        #

        except Queue.Empty as e:
            pass

        logger.debug("Awaiting future...")

        #
        # if we are executing (well, blocking) as the main thread, we need
        # to flush the event loop so IDA does not hang
        #

        if idaapi.is_main_thread():
            flush_ida_sync_requests()
Beispiel #2
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def flush_ida_sync_requests():
    """
    Flush all execute_sync requests.

    NOTE: This MUST be called from the IDA Mainthread to be effective.
    """
    if not idaapi.is_main_thread():
        return False

    # this will trigger/flush the IDA UI loop
    qta = QtCore.QCoreApplication.instance()
    qta.processEvents()

    # done
    return True
Beispiel #3
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def await_lock(lock):
    """
    Attempt to acquire a lock without blocking the IDA mainthread.

    See await_future() for more details.
    """

    elapsed  = 0       # total time elapsed waiting for the lock
    interval = 0.02    # the interval (in seconds) between acquire attempts
    timeout  = 60.0    # the total time allotted to acquiring the lock
    end_time = time.time() + timeout

    # wait until the the lock is available
    while time.time() < end_time:

        #
        # attempt to acquire the given lock without blocking (via 'False').
        # if we succesfully aquire the lock, then we can return (success)
        #

        if lock.acquire(False):
            logger.debug("Acquired lock!")
            return

        #
        # the lock is not available yet. we need to sleep so we don't choke
        # the cpu, and try to acquire the lock again next time through...
        #

        logger.debug("Awaiting lock...")
        time.sleep(interval)

        #
        # if we are executing (well, blocking) as the main thread, we need
        # to flush the event loop so IDA does not hang
        #

        if idaapi.is_main_thread():
            flush_ida_sync_requests()

    #
    # we spent 60 seconds trying to acquire the lock, but never got it...
    # to avoid hanging IDA indefinitely (or worse), we abort via signal
    #

    raise RuntimeError("Failed to acquire lock after %f seconds!" % timeout)
Beispiel #4
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        def wrapper(*args, **kwargs):
            output = [None]

            #
            # this inline function definition is technically what will execute
            # in the context of the main thread. we use this thunk to capture
            # any output the function may want to return to the user.
            #

            def thunk():
                output[0] = function(*args, **kwargs)
                return 1

            # already in the target (main) thread, execute thunk now
            if idaapi.is_main_thread():
                thunk()

            # send the synchronization request to IDA
            else:
                idaapi.execute_sync(thunk, sync_flags)

            # return the output of the synchronized function
            return output[0]
Beispiel #5
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 def wrapper(*args, **kwargs):
     assert idaapi.is_main_thread()
     return f(*args, **kwargs)
Beispiel #6
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 def wrapper(*args, **kwargs):
     ff = functools.partial(f, *args, **kwargs)
     if idaapi.is_main_thread():
         return ff()
     else:
         return idaapi.execute_sync(ff, idaapi.MFF_READ)