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.
Requires "vmray_rest_api"
The expansion module vmray_submit and import module vmray_import are a two step
process to import data from VMRay.
You can automate this by setting the PyMISP example script 'vmray_automation'
as a cron job
'''
import json
import base64
from distutils.util import strtobool
import io
import zipfile
from ._vmray.vmray_rest_api import VMRayRESTAPI
misperrors = {'error': 'Error'}
mispattributes = {'input': ['attachment', 'malware-sample'], 'output': ['text', 'sha1', 'sha256', 'md5', 'link']}
moduleinfo = {'version': '0.3', '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")
if 'malware-sample' in request:
# malicious samples are encrypted with zip (password infected) and then base64 encoded
sample_filename = request.get("malware-sample").split("|", 1)[0]
data = base64.b64decode(data)
fl = io.BytesIO(data)
zf = zipfile.ZipFile(fl)
sample_hashname = zf.namelist()[0]
data = zf.read(sample_hashname, b"infected")
zf.close()
elif 'attachment' in request:
# All attachments get base64 encoded
sample_filename = request.get("attachment")
data = base64.b64decode(data)
else:
misperrors['error'] = "No malware sample or attachment supplied"
return misperrors
except Exception:
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")
try:
shareable = bool(strtobool(shareable)) # Do we want the sample to be shared?
reanalyze = not bool(strtobool(do_not_reanalyze)) # Always reanalyze the sample?
include_vmrayjobids = not bool(strtobool(do_not_include_vmrayjobids)) # Include the references to VMRay job IDs
except ValueError:
misperrors["error"] = "Error while processing settings. Please double-check your values."
return misperrors
if data and sample_filename:
args = {}
args["shareable"] = shareable
args["sample_file"] = {'data': io.BytesIO(data), 'filename': sample_filename}
args["reanalyze"] = reanalyze
try:
vmraydata = vmraySubmit(api, args)
if vmraydata["errors"] and "Submission not stored" not in vmraydata["errors"][0]["error_msg"]:
misperrors['error'] = "VMRay: %s" % vmraydata["errors"][0]["error_msg"]
return misperrors
else:
return vmrayProcess(vmraydata)
except Exception:
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:
sample = vmraydata["samples"][0]
jobs = vmraydata["jobs"]
# Result received?
if sample:
r = {'results': []}
r['results'].append({'types': 'md5', 'values': sample['sample_md5hash']})
r['results'].append({'types': 'sha1', 'values': sample['sample_sha1hash']})
r['results'].append({'types': 'sha256', 'values': sample['sample_sha256hash']})
r['results'].append({'types': 'text', 'values': 'VMRay Sample ID: %s' % sample['sample_id'], 'tags': 'workflow:state="incomplete"'})
r['results'].append({'types': 'link', 'values': sample['sample_webif_url']})
# Include data from different jobs
if include_vmrayjobids and len(jobs) > 0:
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 Exception:
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