Modules for expansion services, import and export in MISP http://misp.github.io/misp-modules
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#!/usr/bin/env python3
'''
Submit sample to VMRay.
Submit a sample to VMRay
TODO:
# Deal with malicious samples (ZIP file, 'infected')
# Deal with archive submissions
'''
import json
import base64
import io
from ._vmray.vmray_rest_api import VMRayRESTAPI
misperrors = {'error': 'Error'}
mispattributes = {'input': ['attachment'], 'output': ['text', 'sha1', 'sha256', 'md5', 'link']}
moduleinfo = {'version': '0.1', 'author': 'Koen Van Impe',
'description': 'Submit a sample to VMRay',
'module-type': ['expansion']}
moduleconfig = ['apikey', 'url', 'shareable', 'do_not_reanalyze', 'do_not_include_vmrayjobids']
include_vmrayjobids = False
def handler(q=False):
global include_vmrayjobids
if q is False:
return False
request = json.loads(q)
try:
data = request.get("data")
attachment = request.get("attachment")
data = base64.b64decode(data)
except:
misperrors['error'] = "Unable to process submited sample data"
return misperrors
if (request["config"].get("apikey") is None) or (request["config"].get("url") is None):
misperrors["error"] = "Missing API key or server URL (hint: try cloud.vmray.com)"
return misperrors
api = VMRayRESTAPI(request["config"].get("url"), request["config"].get("apikey"), False)
shareable = request["config"].get("shareable")
do_not_reanalyze = request["config"].get("do_not_reanalyze")
do_not_include_vmrayjobids = request["config"].get("do_not_include_vmrayjobids")
# Do we want the sample to be shared?
if shareable == "True":
shareable = True
else:
shareable = False
# Always reanalyze the sample?
if do_not_reanalyze == "True":
do_not_reanalyze = True
else:
do_not_reanalyze = False
reanalyze = not do_not_reanalyze
# Include the references to VMRay job IDs
if do_not_include_vmrayjobids == "True":
do_not_include_vmrayjobids = True
else:
do_not_include_vmrayjobids = False
include_vmrayjobids = not do_not_include_vmrayjobids
if data and attachment:
args = {}
args["shareable"] = shareable
args["sample_file"] = {'data': io.BytesIO(data), 'filename': attachment}
args["reanalyze"] = reanalyze
try:
vmraydata = vmraySubmit(api, args)
if vmraydata["errors"]:
misperrors['error'] = "VMRay: %s" % vmraydata["errors"][0]["error_msg"]
return misperrors
else:
return vmrayProcess(vmraydata)
except:
misperrors['error'] = "Problem when calling API."
return misperrors
else:
misperrors['error'] = "No sample data or filename."
return misperrors
def introspection():
return mispattributes
def version():
moduleinfo['config'] = moduleconfig
return moduleinfo
def vmrayProcess(vmraydata):
''' Process the JSON file returned by vmray'''
if vmraydata:
try:
submissions = vmraydata["submissions"][0]
jobs = vmraydata["jobs"]
# Result received?
if submissions and jobs:
r = {'results': []}
r["results"].append({"types": "md5", "values": submissions["submission_sample_md5"]})
r["results"].append({"types": "sha1", "values": submissions["submission_sample_sha1"]})
r["results"].append({"types": "sha256", "values": submissions["submission_sample_sha256"]})
r["results"].append({"types": "text", "values": "VMRay Sample ID: %s" % submissions["submission_sample_id"]})
r["results"].append({"types": "text", "values": "VMRay Submission ID: %s" % submissions["submission_id"]})
r["results"].append({"types": "text", "values": "VMRay Submission Sample IP: %s" % submissions["submission_ip_ip"]})
r["results"].append({"types": "link", "values": submissions["submission_webif_url"]})
# Include data from different jobs
if include_vmrayjobids:
for job in jobs:
job_id = job["job_id"]
job_vm_name = job["job_vm_name"]
job_configuration_name = job["job_configuration_name"]
r["results"].append({"types": "text", "values": "VMRay Job ID %s (%s - %s)" % (job_id, job_vm_name, job_configuration_name)})
return r
else:
misperrors['error'] = "No valid results returned."
return misperrors
except:
misperrors['error'] = "No valid submission data returned."
return misperrors
else:
misperrors['error'] = "Unable to parse results."
return misperrors
def vmraySubmit(api, args):
''' Submit the sample to VMRay'''
vmraydata = api.call("POST", "/rest/sample/submit", args)
return vmraydata