mirror of https://github.com/MISP/misp-modules
				
				
				
			
		
			
				
	
	
		
			162 lines
		
	
	
		
			6.1 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			162 lines
		
	
	
		
			6.1 KiB
		
	
	
	
		
			Python
		
	
	
| #!/usr/bin/env python3
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| 
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| '''
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| Submit sample to VMRay.
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| 
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| Requires "vmray_rest_api"
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| 
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| The expansion module vmray_submit and import module vmray_import are a two step
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| process to import data from VMRay.
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| You can automate this by setting the PyMISP example script 'vmray_automation'
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| as a cron job
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| 
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| '''
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| 
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| import json
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| import base64
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| from distutils.util import strtobool
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| 
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| import io
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| import zipfile
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| 
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| from _vmray.rest_api import VMRayRESTAPI
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| 
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| misperrors = {'error': 'Error'}
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| mispattributes = {'input': ['attachment', 'malware-sample'], 'output': ['text', 'sha1', 'sha256', 'md5', 'link']}
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| moduleinfo = {
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|     'version': '0.3',
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|     'author': 'Koen Van Impe',
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|     'description': 'Module to submit a sample to VMRay.',
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|     'module-type': ['expansion'],
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|     'name': 'VMRay Submit',
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|     'logo': 'vmray.png',
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|     'requirements': ['An access to the VMRay API (apikey & url)'],
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|     'features': 'This module takes an attachment or malware-sample attribute as input to query the VMRay API.\n\nThe sample contained within the attribute in then enriched with data from VMRay mapped into MISP attributes.',
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|     'references': ['https://www.vmray.com/'],
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|     'input': 'An attachment or malware-sample attribute.',
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|     'output': 'MISP attributes mapped from the result of the query on VMRay API, included in the following list:\n- text\n- sha1\n- sha256\n- md5\n- link',
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| }
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| moduleconfig = ['apikey', 'url', 'shareable', 'do_not_reanalyze', 'do_not_include_vmrayjobids']
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| 
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| 
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| include_vmrayjobids = False
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| 
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| 
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| def handler(q=False):
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|     global include_vmrayjobids
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| 
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|     if q is False:
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|         return False
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|     request = json.loads(q)
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| 
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|     try:
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|         data = request.get("data")
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|         if 'malware-sample' in request:
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|             # malicious samples are encrypted with zip (password infected) and then base64 encoded
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|             sample_filename = request.get("malware-sample").split("|", 1)[0]
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|             data = base64.b64decode(data)
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|             fl = io.BytesIO(data)
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|             zf = zipfile.ZipFile(fl)
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|             sample_hashname = zf.namelist()[0]
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|             data = zf.read(sample_hashname, b"infected")
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|             zf.close()
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|         elif 'attachment' in request:
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|             # All attachments get base64 encoded
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|             sample_filename = request.get("attachment")
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|             data = base64.b64decode(data)
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| 
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|         else:
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|             misperrors['error'] = "No malware sample or attachment supplied"
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|             return misperrors
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|     except Exception:
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|         misperrors['error'] = "Unable to process submited sample data"
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|         return misperrors
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| 
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|     if (request["config"].get("apikey") is None) or (request["config"].get("url") is None):
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|         misperrors["error"] = "Missing API key or server URL (hint: try cloud.vmray.com)"
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|         return misperrors
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| 
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|     api = VMRayRESTAPI(request["config"].get("url"), request["config"].get("apikey"), False)
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| 
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|     shareable = request["config"].get("shareable")
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|     do_not_reanalyze = request["config"].get("do_not_reanalyze")
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|     do_not_include_vmrayjobids = request["config"].get("do_not_include_vmrayjobids")
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| 
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|     try:
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|         shareable = bool(strtobool(shareable))                                 # Do we want the sample to be shared?
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|         reanalyze = not bool(strtobool(do_not_reanalyze))                      # Always reanalyze the sample?
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|         include_vmrayjobids = not bool(strtobool(do_not_include_vmrayjobids))  # Include the references to VMRay job IDs
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|     except ValueError:
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|         misperrors["error"] = "Error while processing settings. Please double-check your values."
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|         return misperrors
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| 
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|     if data and sample_filename:
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|         args = {}
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|         args["shareable"] = shareable
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|         args["sample_file"] = {'data': io.BytesIO(data), 'filename': sample_filename}
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|         args["reanalyze"] = reanalyze
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| 
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|         try:
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|             vmraydata = vmraySubmit(api, args)
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|             if vmraydata["errors"] and "Submission not stored" not in vmraydata["errors"][0]["error_msg"]:
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|                 misperrors['error'] = "VMRay: %s" % vmraydata["errors"][0]["error_msg"]
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|                 return misperrors
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|             else:
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|                 return vmrayProcess(vmraydata)
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|         except Exception:
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|             misperrors['error'] = "Problem when calling API."
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|             return misperrors
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|     else:
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|         misperrors['error'] = "No sample data or filename."
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|         return misperrors
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| 
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| 
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| def introspection():
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|     return mispattributes
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| 
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| 
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| def version():
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|     moduleinfo['config'] = moduleconfig
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|     return moduleinfo
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| 
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| 
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| def vmrayProcess(vmraydata):
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|     ''' Process the JSON file returned by vmray'''
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|     if vmraydata:
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|         try:
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|             sample = vmraydata["samples"][0]
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|             jobs = vmraydata["jobs"]
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| 
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|             # Result received?
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|             if sample:
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|                 r = {'results': []}
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|                 r['results'].append({'types': 'md5', 'values': sample['sample_md5hash']})
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|                 r['results'].append({'types': 'sha1', 'values': sample['sample_sha1hash']})
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|                 r['results'].append({'types': 'sha256', 'values': sample['sample_sha256hash']})
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|                 r['results'].append({'types': 'text', 'values': 'VMRay Sample ID: %s' % sample['sample_id'], 'tags': 'workflow:state="incomplete"'})
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|                 r['results'].append({'types': 'link', 'values': sample['sample_webif_url']})
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| 
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|                 # Include data from different jobs
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|                 if include_vmrayjobids and len(jobs) > 0:
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|                     for job in jobs:
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|                         job_id = job["job_id"]
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|                         job_vm_name = job["job_vm_name"]
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|                         job_configuration_name = job["job_configuration_name"]
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|                         r["results"].append({"types": "text", "values": "VMRay Job ID %s (%s - %s)" % (job_id, job_vm_name, job_configuration_name)})
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|                 return r
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|             else:
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|                 misperrors['error'] = "No valid results returned."
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|                 return misperrors
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|         except Exception:
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|             misperrors['error'] = "No valid submission data returned."
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|             return misperrors
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|     else:
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|         misperrors['error'] = "Unable to parse results."
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|         return misperrors
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| 
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| 
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| def vmraySubmit(api, args):
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|     ''' Submit the sample to VMRay'''
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|     vmraydata = api.call("POST", "/rest/sample/submit", args)
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|     return vmraydata
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