def prepare(self):
"""Prepare env for analysis."""
# Get SeDebugPrivilege for the Python process. It will be needed in
# order to perform the injections.
grant_debug_privilege()
# Create the folders used for storing the results.
create_folders()
# Initialize logging.
init_logging()
# Parse the analysis configuration file generated by the agent.
self.config = Config(cfg="analysis.conf")
# Pass the configuration through to the Process class.
Process.set_config(self.config)
# Set virtual machine clock.
clock = datetime.strptime(self.config.clock, "%Y%m%dT%H:%M:%S")
# Setting date and time.
# NOTE: Windows system has only localized commands with date format
# following localization settings, so these commands for english date
# format cannot work in other localizations.
# In addition DATE and TIME commands are blocking if an incorrect
# syntax is provided, so an echo trick is used to bypass the input
# request and not block analysis.
os.system("echo:|date {0}".format(clock.strftime("%m-%d-%y")))
os.system("echo:|time {0}".format(clock.strftime("%H:%M:%S")))
# Set the default DLL to be used for this analysis.
self.default_dll = self.config.options.get("dll")
# If a pipe name has not set, then generate a random one.
if "pipe" in self.config.options:
self.config.pipe = "\\\\.\\PIPE\\%s" % self.config.options["pipe"]
else:
self.config.pipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Generate a random name for the logging pipe server.
self.config.logpipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Initialize and start the Command Handler pipe server. This is going
# to be used for communicating with the monitored processes.
self.command_pipe = PipeServer(PipeDispatcher, self.config.pipe,
message=True,
dispatcher=CommandPipeHandler(self))
self.command_pipe.daemon = True
self.command_pipe.start()
# Initialize and start the Log Pipe Server - the log pipe server will
# open up a pipe that monitored processes will use to send logs to
# before they head off to the host machine.
destination = self.config.ip, self.config.port
self.log_pipe_server = PipeServer(PipeForwarder, self.config.logpipe,
destination=destination)
self.log_pipe_server.daemon = True
self.log_pipe_server.start()
# We update the target according to its category. If it's a file, then
# we store the target path.
if self.config.category == "file":
self.target = os.path.join(os.environ["TEMP"] + os.sep,
self.config.file_name)
# If it's a URL, well.. we store the URL.
else:
self.target = self.config.target
def prepare(self):
"""Prepare env for analysis."""
# Get SeDebugPrivilege for the Python process. It will be needed in
# order to perform the injections.
grant_debug_privilege()
# Create the folders used for storing the results.
create_folders()
# Initialize logging.
init_logging()
# Parse the analysis configuration file generated by the agent.
self.config = Config(cfg="analysis.conf")
# Pass the configuration through to the Process class.
Process.set_config(self.config)
# Set virtual machine clock.
clock = datetime.strptime(self.config.clock, "%Y%m%dT%H:%M:%S")
# Setting date and time.
# NOTE: Windows system has only localized commands with date format
# following localization settings, so these commands for english date
# format cannot work in other localizations.
# In addition DATE and TIME commands are blocking if an incorrect
# syntax is provided, so an echo trick is used to bypass the input
# request and not block analysis.
os.system("echo:|date {0}".format(clock.strftime("%m-%d-%y")))
os.system("echo:|time {0}".format(clock.strftime("%H:%M:%S")))
# Set the default DLL to be used for this analysis.
self.default_dll = self.config.options.get("dll")
# If a pipe name has not set, then generate a random one.
if "pipe" in self.config.options:
self.config.pipe = "\\\\.\\PIPE\\%s" % self.config.options["pipe"]
else:
self.config.pipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Generate a random name for the logging pipe server.
self.config.logpipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Initialize and start the Command Handler pipe server. This is going
# to be used for communicating with the monitored processes.
self.command_pipe = PipeServer(PipeDispatcher,
self.config.pipe,
message=True,
dispatcher=CommandPipeHandler(self))
self.command_pipe.daemon = True
self.command_pipe.start()
# Initialize and start the Log Pipe Server - the log pipe server will
# open up a pipe that monitored processes will use to send logs to
# before they head off to the host machine.
destination = self.config.ip, self.config.port
self.log_pipe_server = PipeServer(PipeForwarder,
self.config.logpipe,
destination=destination)
self.log_pipe_server.daemon = True
self.log_pipe_server.start()
# We update the target according to its category. If it's a file, then
# we store the target path.
if self.config.category == "file":
self.target = os.path.join(os.environ["TEMP"] + os.sep,
self.config.file_name)
# If it's a URL, well.. we store the URL.
else:
self.target = self.config.target
class Analyzer(object):
"""Cuckoo Windows Analyzer.
This class handles the initialization and execution of the analysis
procedure, including handling of the pipe server, the auxiliary modules and
the analysis packages.
"""
def __init__(self):
self.config = None
self.target = None
self.do_run = True
self.time_counter = 0
self.process_lock = threading.Lock()
self.default_dll = None
self.pid = os.getpid()
self.ppid = Process(pid=self.pid).get_parent_pid()
self.files = Files()
self.process_list = ProcessList()
def prepare(self):
"""Prepare env for analysis."""
# Get SeDebugPrivilege for the Python process. It will be needed in
# order to perform the injections.
grant_debug_privilege()
# Create the folders used for storing the results.
create_folders()
# Initialize logging.
init_logging()
# Parse the analysis configuration file generated by the agent.
self.config = Config(cfg="analysis.conf")
# Pass the configuration through to the Process class.
Process.set_config(self.config)
# Set virtual machine clock.
clock = datetime.strptime(self.config.clock, "%Y%m%dT%H:%M:%S")
# Setting date and time.
# NOTE: Windows system has only localized commands with date format
# following localization settings, so these commands for english date
# format cannot work in other localizations.
# In addition DATE and TIME commands are blocking if an incorrect
# syntax is provided, so an echo trick is used to bypass the input
# request and not block analysis.
os.system("echo:|date {0}".format(clock.strftime("%m-%d-%y")))
os.system("echo:|time {0}".format(clock.strftime("%H:%M:%S")))
# Set the default DLL to be used for this analysis.
self.default_dll = self.config.options.get("dll")
# If a pipe name has not set, then generate a random one.
if "pipe" in self.config.options:
self.config.pipe = "\\\\.\\PIPE\\%s" % self.config.options["pipe"]
else:
self.config.pipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Generate a random name for the logging pipe server.
self.config.logpipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Initialize and start the Command Handler pipe server. This is going
# to be used for communicating with the monitored processes.
self.command_pipe = PipeServer(PipeDispatcher, self.config.pipe,
message=True,
dispatcher=CommandPipeHandler(self))
self.command_pipe.daemon = True
self.command_pipe.start()
# Initialize and start the Log Pipe Server - the log pipe server will
# open up a pipe that monitored processes will use to send logs to
# before they head off to the host machine.
destination = self.config.ip, self.config.port
self.log_pipe_server = PipeServer(PipeForwarder, self.config.logpipe,
destination=destination)
self.log_pipe_server.daemon = True
self.log_pipe_server.start()
# We update the target according to its category. If it's a file, then
# we store the target path.
if self.config.category == "file":
self.target = os.path.join(os.environ["TEMP"] + os.sep,
self.config.file_name)
# If it's a URL, well.. we store the URL.
else:
self.target = self.config.target
def stop(self):
"""Allows an auxiliary module to stop the analysis."""
self.do_run = False
def complete(self):
"""End analysis."""
# Stop the Pipe Servers.
self.command_pipe.stop()
self.log_pipe_server.stop()
# Dump all the notified files.
self.files.dump_files()
# Hell yeah.
log.info("Analysis completed.")
def run(self):
"""Run analysis.
@return: operation status.
"""
self.prepare()
log.debug("Starting analyzer from: %s", os.getcwd())
log.debug("Storing results at: %s", PATHS["root"])
log.debug("Pipe server name: %s", self.config.pipe)
log.debug("Log pipe server name: %s", self.config.logpipe)
# If no analysis package was specified at submission, we try to select
# one automatically.
if not self.config.package:
log.debug("No analysis package specified, trying to detect "
"it automagically.")
# If the analysis target is a file, we choose the package according
# to the file format.
if self.config.category == "file":
package = choose_package(self.config.file_type,
self.config.file_name)
# If it's an URL, we'll just use the default Internet Explorer
# package.
else:
package = "ie"
# If we weren't able to automatically determine the proper package,
# we need to abort the analysis.
if not package:
raise CuckooError("No valid package available for file "
"type: {0}".format(self.config.file_type))
log.info("Automatically selected analysis package \"%s\"", package)
# Otherwise just select the specified package.
else:
package = self.config.package
# Generate the package path.
package_name = "modules.packages.%s" % package
# Try to import the analysis package.
try:
__import__(package_name, globals(), locals(), ["dummy"], -1)
# If it fails, we need to abort the analysis.
except ImportError:
raise CuckooError("Unable to import package \"{0}\", does "
"not exist.".format(package_name))
# Initialize the package parent abstract.
Package()
# Enumerate the abstract subclasses.
try:
package_class = Package.__subclasses__()[0]
except IndexError as e:
raise CuckooError("Unable to select package class "
"(package={0}): {1}".format(package_name, e))
# Initialize the analysis package.
package = package_class(self.config.options)
# Move the sample to the current working directory as provided by the
# task - one is able to override the starting path of the sample.
# E.g., for some samples it might be useful to run from %APPDATA%
# instead of %TEMP%.
if self.config.category == "file":
self.target = package.move_curdir(self.target)
# Initialize Auxiliary modules
Auxiliary()
prefix = auxiliary.__name__ + "."
for loader, name, ispkg in pkgutil.iter_modules(auxiliary.__path__, prefix):
if ispkg:
continue
# Import the auxiliary module.
try:
__import__(name, globals(), locals(), ["dummy"], -1)
except ImportError as e:
log.warning("Unable to import the auxiliary module "
"\"%s\": %s", name, e)
# Walk through the available auxiliary modules.
aux_enabled, aux_avail = [], []
for module in Auxiliary.__subclasses__():
# Try to start the auxiliary module.
try:
log.debug("Starting auxiliary module %s", module.__name__)
aux = module(options=self.config.options, analyzer=self)
aux_avail.append(aux)
aux.start()
except (NotImplementedError, AttributeError):
log.warning("Auxiliary module %s was not implemented",
aux.__class__.__name__)
except Exception as e:
log.warning("Cannot execute auxiliary module %s: %s",
aux.__class__.__name__, e)
else:
log.debug("Started auxiliary module %s",
aux.__class__.__name__)
aux_enabled.append(aux)
# Start analysis package. If for any reason, the execution of the
# analysis package fails, we have to abort the analysis.
try:
pids = package.start(self.target)
except NotImplementedError:
raise CuckooError("The package \"{0}\" doesn't contain a run "
"function.".format(package_name))
except CuckooPackageError as e:
raise CuckooError("The package \"{0}\" start function raised an "
"error: {1}".format(package_name, e))
except Exception as e:
raise CuckooError("The package \"{0}\" start function encountered "
"an unhandled exception: "
"{1}".format(package_name, e))
# If the analysis package returned a list of process identifiers, we
# add them to the list of monitored processes and enable the process monitor.
if pids:
self.process_list.add_pids(pids)
pid_check = True
# If the package didn't return any process ID (for example in the case
# where the package isn't enabling any behavioral analysis), we don't
# enable the process monitor.
else:
log.info("No process IDs returned by the package, running "
"for the full timeout.")
pid_check = False
# Check in the options if the user toggled the timeout enforce. If so,
# we need to override pid_check and disable process monitor.
if self.config.enforce_timeout:
log.info("Enabled timeout enforce, running for the full timeout.")
pid_check = False
while self.do_run:
self.time_counter += 1
if self.time_counter == int(self.config.timeout):
log.info("Analysis timeout hit, terminating analysis.")
break
# If the process lock is locked, it means that something is
# operating on the list of monitored processes. Therefore we
# cannot proceed with the checks until the lock is released.
if self.process_lock.locked():
KERNEL32.Sleep(1000)
continue
try:
# If the process monitor is enabled we start checking whether
# the monitored processes are still alive.
if pid_check:
for pid in self.process_list.pids:
if not Process(pid=pid).is_alive():
log.info("Process with pid %s has terminated", pid)
self.process_list.remove_pid(pid)
# If none of the monitored processes are still alive, we
# can terminate the analysis.
if not self.process_list.pids:
log.info("Process list is empty, "
"terminating analysis.")
break
# Update the list of monitored processes available to the
# analysis package. It could be used for internal
# operations within the module.
package.set_pids(self.process_list.pids)
try:
# The analysis packages are provided with a function that
# is executed at every loop's iteration. If such function
# returns False, it means that it requested the analysis
# to be terminate.
if not package.check():
log.info("The analysis package requested the "
"termination of the analysis.")
break
# If the check() function of the package raised some exception
# we don't care, we can still proceed with the analysis but we
# throw a warning.
except Exception as e:
log.warning("The package \"%s\" check function raised "
"an exception: %s", package_name, e)
finally:
# Zzz.
KERNEL32.Sleep(1000)
if not self.do_run:
log.debug("The analyzer has been stopped on request by an "
"auxiliary module.")
# Create the shutdown mutex.
KERNEL32.CreateMutexA(None, False, SHUTDOWN_MUTEX)
try:
# Before shutting down the analysis, the package can perform some
# final operations through the finish() function.
package.finish()
except Exception as e:
log.warning("The package \"%s\" finish function raised an "
"exception: %s", package_name, e)
try:
# Upload files the package created to package_files in the
# results folder.
for path, name in package.package_files() or []:
upload_to_host(path, os.path.join("package_files", name))
except Exception as e:
log.warning("The package \"%s\" package_files function raised an "
"exception: %s", package_name, e)
# Terminate the Auxiliary modules.
for aux in aux_enabled:
try:
aux.stop()
except (NotImplementedError, AttributeError):
continue
except Exception as e:
log.warning("Cannot terminate auxiliary module %s: %s",
aux.__class__.__name__, e)
if self.config.terminate_processes:
# Try to terminate remaining active processes. We do this to make sure
# that we clean up remaining open handles (sockets, files, etc.).
log.info("Terminating remaining processes before shutdown.")
for pid in self.process_list.pids:
proc = Process(pid=pid)
if proc.is_alive():
try:
proc.terminate()
except:
continue
# Run the finish callback of every available Auxiliary module.
for aux in aux_avail:
try:
aux.finish()
except (NotImplementedError, AttributeError):
continue
except Exception as e:
log.warning("Exception running finish callback of auxiliary "
"module %s: %s", aux.__class__.__name__, e)
# Let's invoke the completion procedure.
self.complete()
return True
class Analyzer(object):
"""Cuckoo Windows Analyzer.
This class handles the initialization and execution of the analysis
procedure, including handling of the pipe server, the auxiliary modules and
the analysis packages.
"""
def __init__(self):
self.config = None
self.target = None
self.do_run = True
self.time_counter = 0
self.process_lock = threading.Lock()
self.default_dll = None
self.pid = os.getpid()
self.ppid = Process(pid=self.pid).get_parent_pid()
self.files = Files()
self.process_list = ProcessList()
def prepare(self):
"""Prepare env for analysis."""
# Get SeDebugPrivilege for the Python process. It will be needed in
# order to perform the injections.
grant_debug_privilege()
# Create the folders used for storing the results.
create_folders()
# Initialize logging.
init_logging()
# Parse the analysis configuration file generated by the agent.
self.config = Config(cfg="analysis.conf")
# Pass the configuration through to the Process class.
Process.set_config(self.config)
# Set virtual machine clock.
clock = datetime.strptime(self.config.clock, "%Y%m%dT%H:%M:%S")
# Setting date and time.
# NOTE: Windows system has only localized commands with date format
# following localization settings, so these commands for english date
# format cannot work in other localizations.
# In addition DATE and TIME commands are blocking if an incorrect
# syntax is provided, so an echo trick is used to bypass the input
# request and not block analysis.
os.system("echo:|date {0}".format(clock.strftime("%m-%d-%y")))
os.system("echo:|time {0}".format(clock.strftime("%H:%M:%S")))
# Set the default DLL to be used for this analysis.
self.default_dll = self.config.options.get("dll")
# If a pipe name has not set, then generate a random one.
if "pipe" in self.config.options:
self.config.pipe = "\\\\.\\PIPE\\%s" % self.config.options["pipe"]
else:
self.config.pipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Generate a random name for the logging pipe server.
self.config.logpipe = "\\\\.\\PIPE\\%s" % random_string(16, 32)
# Initialize and start the Command Handler pipe server. This is going
# to be used for communicating with the monitored processes.
self.command_pipe = PipeServer(PipeDispatcher,
self.config.pipe,
message=True,
dispatcher=CommandPipeHandler(self))
self.command_pipe.daemon = True
self.command_pipe.start()
# Initialize and start the Log Pipe Server - the log pipe server will
# open up a pipe that monitored processes will use to send logs to
# before they head off to the host machine.
destination = self.config.ip, self.config.port
self.log_pipe_server = PipeServer(PipeForwarder,
self.config.logpipe,
destination=destination)
self.log_pipe_server.daemon = True
self.log_pipe_server.start()
# We update the target according to its category. If it's a file, then
# we store the target path.
if self.config.category == "file":
self.target = os.path.join(os.environ["TEMP"] + os.sep,
self.config.file_name)
# If it's a URL, well.. we store the URL.
else:
self.target = self.config.target
def stop(self):
"""Allows an auxiliary module to stop the analysis."""
self.do_run = False
def complete(self):
"""End analysis."""
# Stop the Pipe Servers.
self.command_pipe.stop()
self.log_pipe_server.stop()
# Dump all the notified files.
self.files.dump_files()
# Hell yeah.
log.info("Analysis completed.")
def run(self):
"""Run analysis.
@return: operation status.
"""
self.prepare()
log.debug("Starting analyzer from: %s", os.getcwd())
log.debug("Storing results at: %s", PATHS["root"])
log.debug("Pipe server name: %s", self.config.pipe)
log.debug("Log pipe server name: %s", self.config.logpipe)
# If no analysis package was specified at submission, we try to select
# one automatically.
if not self.config.package:
log.debug("No analysis package specified, trying to detect "
"it automagically.")
# If the analysis target is a file, we choose the package according
# to the file format.
if self.config.category == "file":
package = choose_package(self.config.file_type,
self.config.file_name)
# If it's an URL, we'll just use the default Internet Explorer
# package.
else:
package = "ie"
# If we weren't able to automatically determine the proper package,
# we need to abort the analysis.
if not package:
raise CuckooError("No valid package available for file "
"type: {0}".format(self.config.file_type))
log.info("Automatically selected analysis package \"%s\"", package)
# Otherwise just select the specified package.
else:
package = self.config.package
# Generate the package path.
package_name = "modules.packages.%s" % package
# Try to import the analysis package.
try:
__import__(package_name, globals(), locals(), ["dummy"], -1)
# If it fails, we need to abort the analysis.
except ImportError:
raise CuckooError("Unable to import package \"{0}\", does "
"not exist.".format(package_name))
# Initialize the package parent abstract.
Package()
# Enumerate the abstract subclasses.
try:
package_class = Package.__subclasses__()[0]
except IndexError as e:
raise CuckooError("Unable to select package class "
"(package={0}): {1}".format(package_name, e))
# Initialize the analysis package.
package = package_class(self.config.options)
# Move the sample to the current working directory as provided by the
# task - one is able to override the starting path of the sample.
# E.g., for some samples it might be useful to run from %APPDATA%
# instead of %TEMP%.
if self.config.category == "file":
self.target = package.move_curdir(self.target)
# Initialize Auxiliary modules
Auxiliary()
prefix = auxiliary.__name__ + "."
for loader, name, ispkg in pkgutil.iter_modules(
auxiliary.__path__, prefix):
if ispkg:
continue
# Import the auxiliary module.
try:
__import__(name, globals(), locals(), ["dummy"], -1)
except ImportError as e:
log.warning(
"Unable to import the auxiliary module "
"\"%s\": %s", name, e)
# Walk through the available auxiliary modules.
aux_enabled, aux_avail = [], []
for module in Auxiliary.__subclasses__():
# Try to start the auxiliary module.
try:
aux = module(options=self.config.options, analyzer=self)
aux_avail.append(aux)
aux.start()
except (NotImplementedError, AttributeError):
log.warning("Auxiliary module %s was not implemented",
aux.__class__.__name__)
except Exception as e:
log.warning("Cannot execute auxiliary module %s: %s",
aux.__class__.__name__, e)
else:
log.debug("Started auxiliary module %s",
aux.__class__.__name__)
aux_enabled.append(aux)
# Start analysis package. If for any reason, the execution of the
# analysis package fails, we have to abort the analysis.
try:
pids = package.start(self.target)
except NotImplementedError:
raise CuckooError("The package \"{0}\" doesn't contain a run "
"function.".format(package_name))
except CuckooPackageError as e:
raise CuckooError("The package \"{0}\" start function raised an "
"error: {1}".format(package_name, e))
except Exception as e:
raise CuckooError("The package \"{0}\" start function encountered "
"an unhandled exception: "
"{1}".format(package_name, e))
# If the analysis package returned a list of process identifiers, we
# add them to the list of monitored processes and enable the process monitor.
if pids:
self.process_list.add_pids(pids)
pid_check = True
# If the package didn't return any process ID (for example in the case
# where the package isn't enabling any behavioral analysis), we don't
# enable the process monitor.
else:
log.info("No process IDs returned by the package, running "
"for the full timeout.")
pid_check = False
# Check in the options if the user toggled the timeout enforce. If so,
# we need to override pid_check and disable process monitor.
if self.config.enforce_timeout:
log.info("Enabled timeout enforce, running for the full timeout.")
pid_check = False
while self.do_run:
self.time_counter += 1
if self.time_counter == int(self.config.timeout):
log.info("Analysis timeout hit, terminating analysis.")
break
# If the process lock is locked, it means that something is
# operating on the list of monitored processes. Therefore we
# cannot proceed with the checks until the lock is released.
if self.process_lock.locked():
KERNEL32.Sleep(1000)
continue
try:
# If the process monitor is enabled we start checking whether
# the monitored processes are still alive.
if pid_check:
for pid in self.process_list.pids:
if not Process(pid=pid).is_alive():
log.info("Process with pid %s has terminated", pid)
self.process_list.remove_pid(pid)
# If none of the monitored processes are still alive, we
# can terminate the analysis.
if not self.process_list.pids:
log.info("Process list is empty, "
"terminating analysis.")
break
# Update the list of monitored processes available to the
# analysis package. It could be used for internal
# operations within the module.
package.set_pids(self.process_list.pids)
try:
# The analysis packages are provided with a function that
# is executed at every loop's iteration. If such function
# returns False, it means that it requested the analysis
# to be terminate.
if not package.check():
log.info("The analysis package requested the "
"termination of the analysis.")
break
# If the check() function of the package raised some exception
# we don't care, we can still proceed with the analysis but we
# throw a warning.
except Exception as e:
log.warning(
"The package \"%s\" check function raised "
"an exception: %s", package_name, e)
finally:
# Zzz.
KERNEL32.Sleep(1000)
if not self.do_run:
log.debug("The analyzer has been stopped on request by an "
"auxiliary module.")
# Create the shutdown mutex.
KERNEL32.CreateMutexA(None, False, SHUTDOWN_MUTEX)
try:
# Before shutting down the analysis, the package can perform some
# final operations through the finish() function.
package.finish()
except Exception as e:
log.warning(
"The package \"%s\" finish function raised an "
"exception: %s", package_name, e)
try:
# Upload files the package created to package_files in the
# results folder.
for path, name in package.package_files() or []:
upload_to_host(path, os.path.join("package_files", name))
except Exception as e:
log.warning(
"The package \"%s\" package_files function raised an "
"exception: %s", package_name, e)
# Terminate the Auxiliary modules.
for aux in aux_enabled:
try:
aux.stop()
except (NotImplementedError, AttributeError):
continue
except Exception as e:
log.warning("Cannot terminate auxiliary module %s: %s",
aux.__class__.__name__, e)
if self.config.terminate_processes:
# Try to terminate remaining active processes. We do this to make sure
# that we clean up remaining open handles (sockets, files, etc.).
log.info("Terminating remaining processes before shutdown.")
for pid in self.process_list.pids:
proc = Process(pid=pid)
if proc.is_alive():
try:
proc.terminate()
except:
continue
# Run the finish callback of every available Auxiliary module.
for aux in aux_avail:
try:
aux.finish()
except (NotImplementedError, AttributeError):
continue
except Exception as e:
log.warning(
"Exception running finish callback of auxiliary "
"module %s: %s", aux.__class__.__name__, e)
# Let's invoke the completion procedure.
self.complete()
return True