Starting CAPE

To start CAPE use the command:

$ python3

Make sure to run it inside CAPE’s root directory.

You will get an output similar to this:

Cuckoo Sandbox 2.1-CAPE
Copyright (c) 2010-2015

CAPE: Config and Payload Extraction

2020-07-06 10:24:38,490 [lib.cuckoo.core.scheduler] INFO: Using "kvm" machine manager with max_analysis_count=0, max_machines_count=10, and max_vmstartup_count=10
2020-07-06 10:24:38,552 [lib.cuckoo.core.scheduler] INFO: Loaded 100 machine/s
2020-07-06 10:24:38,571 [lib.cuckoo.core.scheduler] INFO: Waiting for analysis tasks.

Now CAPE is ready to run and it’s waiting for submissions. accepts some command line options as shown by the help:

usage: [-h] [-q] [-d] [-v] [-a] [-t] [-m MAX_ANALYSIS_COUNT]

optional arguments:
-h, --help            show this help message and exit
-q, --quiet           Display only error messages
-d, --debug           Display debug messages
-v, --version         show program's version number and exit
-a, --artwork         Show artwork
-t, --test            Test startup
                        Maximum number of analyses

Most importantly --debug and --quiet respectively increase and decrease the logging verbosity.

Starting processing data generated by virtual machine

See -h for all latest options, for better customization:

usage: [-h] [-c] [-d] [-r] [-s] [-p PARALLEL] [-fp] [-mc MAXTASKSPERCHILD] [-md] [-pt PROCESSING_TIMEOUT] id

positional arguments:
id                    ID of the analysis to process (auto for continuous processing of unprocessed tasks).

optional arguments:
-h, --help            show this help message and exit
-c, --caperesubmit    Allow CAPE resubmit processing.
-d, --debug           Display debug messages
-r, --report          Re-generate report
-s, --signatures      Re-execute signatures on the report
-p PARALLEL, --parallel PARALLEL
                        Number of parallel threads to use (auto mode only).
-fp, --failed-processing
                        reprocess failed processing
                        Max children tasks per worker
-md, --memory-debugging
                        Enable logging garbage collection related info
                        Max amount of time spent in processing before we fail a task

$ python3 utils/ -p7 auto