Files
VulnWhisperer/vulnwhisp/frameworks/qualys.py
2017-12-22 17:28:33 -05:00

259 lines
11 KiB
Python

__author__ = 'Austin Taylor'
import qualysapi
from lxml import objectify
from lxml.builder import E
import xml.etree.ElementTree as ET
import pandas as pd
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
import sys
import csv
class qualysWhisper(object):
COUNT = '/count/was/webapp'
VERSION = '/qps/rest/portal/version'
QPS_REST_3 = '/qps/rest/3.0'
SEARCH_REPORTS = QPS_REST_3 + '/search/was/report'
SEARCH_WEB_APPS = QPS_REST_3 + '/search/was/webapp'
REPORT_DETAILS = QPS_REST_3 + '/get/was/report/{report_id}'
REPORT_STATUS = QPS_REST_3 + '/status/was/report/{report_id}'
REPORT_DOWNLOAD = QPS_REST_3 + '/download/was/report/{report_id}'
def __init__(self, config=None):
self.config = config
try:
self.qgc = qualysapi.connect(config)
print('[SUCCESS] - Connected to Qualys at %s' % self.qgc.server)
except Exception as e:
print('[ERROR] Could not connect to Qualys - %s' % e)
self.headers = {
"content-type": "text/xml"}
def request(self, path, method='get'):
methods = {'get': requests.get,
'post': requests.post}
base = 'https://' + self.qgc.server + path
req = methods[method](base, auth=self.qgc.auth, headers=self.headers).content
return req
def get_version(self):
return self.request(self.VERSION)
def get_scan_count(self, scan_name):
parameters = (
E.ServiceRequest(
E.filters(
E.Criteria(scan_name, field='name', operator='CONTAINS'))))
xml_output = self.qgc.request(self.COUNT, parameters)
root = objectify.fromstring(xml_output)
return root.count.text
def get_reports(self):
return self.request(self.SEARCH_REPORTS, method='post')
def xml_parser(self, xml, dupfield=None):
all_records = []
root = ET.XML(xml)
for i, child in enumerate(root):
for subchild in child:
record = {}
for p in subchild:
record[p.tag] = p.text
for o in p:
if o.tag == 'id':
record[dupfield] = o.text
else:
record[o.tag] = o.text
all_records.append(record)
return pd.DataFrame(all_records)
def get_report_list(self):
"""Returns a dataframe of reports"""
return self.xml_parser(self.get_reports(), dupfield='user_id')
def get_web_apps(self):
"""Returns webapps available for account"""
return self.request(self.SEARCH_WEB_APPS, method='post')
def get_web_app_list(self):
"""Returns dataframe of webapps"""
return self.xml_parser(self.get_web_apps(), dupfield='app_id')
def get_report_details(self, report_id):
r = self.REPORT_DETAILS.format(report_id=report_id)
return self.request(r)
def get_report_status(self, report_id):
r = self.REPORT_STATUS.format(report_id=report_id)
return self.request(r)
def download_report(self, report_id):
r = self.REPORT_DOWNLOAD.format(report_id=report_id)
return self.request(r)
class qualysWebAppReport:
WEB_APP_VULN_HEADER = ["Web Application Name", "VULNERABILITY", "ID", "QID", "Url", "Param", "Function",
"Form Entry Point",
"Access Path", "Authentication", "Ajax Request", "Ajax Request ID", "Status", "Ignored",
"Ignore Reason",
"Ignore Date", "Ignore User", "Ignore Comments", "First Time Detected",
"Last Time Detected", "Last Time Tested",
"Times Detected", "Payload #1", "Request Method #1", "Request URL #1",
"Request Headers #1", "Response #1", "Evidence #1"]
WEB_APP_INFO_HEADER = ["Web Application Name", "INFORMATION GATHERED", "ID", "QID", "Results", "Detection Date"]
QID_HEADER = ["QID", "Id", "Title", "Category", "Severity Level", "Groups", "OWASP", "WASC", "CWE", "CVSS Base",
"CVSS Temporal", "Description", "Impact", "Solution"]
GROUP_HEADER = ["GROUP", "Name", "Category"]
OWASP_HEADER = ["OWASP", "Code", "Name"]
WASC_HEADER = ["WASC", "Code", "Name"]
CATEGORY_HEADER = ["Category", "Severity", "Level", "Description"]
def __init__(self, config=None, file_in=None, file_stream=False, delimiter=',', quotechar='"'):
self.file_in = file_in
self.file_stream = file_stream
self.report = None
self.get_sys_max()
if config:
try:
self.qw = qualysWhisper(config=config)
except Exception as e:
print('Could not load config! Please check settings for %s' % config)
if file_stream:
self.open_file = file_in.splitlines()
elif file_in:
self.open_file = open(file_in, 'rb')
# self.report = csv.reader(self.open_file, delimiter=delimiter, quotechar=quotechar)
# self.hostname = self.get_hostname(file_in)
self.downloaded_file = None
def get_sys_max(self):
maxInt = sys.maxsize
decrement = True
while decrement:
# decrease the maxInt value by factor 10
# as long as the OverflowError occurs.
decrement = False
try:
csv.field_size_limit(maxInt)
except OverflowError:
maxInt = int(maxInt / 10)
decrement = True
def get_hostname(self, report):
host = ''
with open(report, 'rb') as csvfile:
q_report = csv.reader(csvfile, delimiter=',', quotechar='"')
for x in q_report:
if 'Web Application Name' in x[0]:
host = q_report.next()[0]
return host
def grab_section(self, report, section, end='', pop_last=False):
temp_list = []
with open(report, 'rb') as csvfile:
# q_report = csv.reader(self., delimiter=',', quotechar='"')
q_report = csv.reader(csvfile, delimiter=',', quotechar='"')
for line in q_report:
if set(line) == set(section): # Or whatever test is needed
break
# Reads text until the end of the block:
for line in q_report: # This keeps reading the file
temp_list.append(line)
if set(line) == end:
break
if pop_last and len(temp_list) > 1:
last_line = temp_list.pop(-1)
return temp_list
def cleanser(self, _data):
repls = ('\n', '|||'), ('\r', '|||'), (',', ';'), ('\t', '|||')
data = reduce(lambda a, kv: a.replace(*kv), repls, _data)
return data
def grab_sections(self, report):
all_dataframes = []
category_list = []
with open(report, 'rb') as csvfile:
q_report = csv.reader(csvfile, delimiter=',', quotechar='"')
all_dataframes.append(pd.DataFrame(
self.grab_section(report, self.WEB_APP_VULN_HEADER, end=set(self.WEB_APP_INFO_HEADER), pop_last=True),
columns=self.WEB_APP_VULN_HEADER))
all_dataframes.append(pd.DataFrame(
self.grab_section(report, self.WEB_APP_INFO_HEADER, end=set(self.QID_HEADER), pop_last=True),
columns=self.WEB_APP_INFO_HEADER))
all_dataframes.append(
pd.DataFrame(self.grab_section(report, self.QID_HEADER, end=set(self.GROUP_HEADER), pop_last=True),
columns=self.QID_HEADER))
all_dataframes.append(
pd.DataFrame(self.grab_section(report, self.GROUP_HEADER, end=set(self.OWASP_HEADER), pop_last=True),
columns=self.GROUP_HEADER))
all_dataframes.append(
pd.DataFrame(self.grab_section(report, self.OWASP_HEADER, end=set(self.WASC_HEADER), pop_last=True),
columns=self.OWASP_HEADER))
all_dataframes.append(
pd.DataFrame(self.grab_section(report, self.WASC_HEADER, end=set(['APPENDIX']), pop_last=True),
columns=self.WASC_HEADER))
all_dataframes.append(
pd.DataFrame(self.grab_section(report, self.CATEGORY_HEADER, end=''), columns=self.CATEGORY_HEADER))
return all_dataframes
def data_normalizer(self, dataframes):
"""
Merge and clean data
:param dataframes:
:return:
"""
merged_df = pd.merge(dataframes[0], dataframes[2], left_on='QID', right_on='Id')
merged_df['Payload #1'] = merged_df['Payload #1'].apply(self.cleanser)
merged_df['Request Method #1'] = merged_df['Request Method #1'].apply(self.cleanser)
merged_df['Request URL #1'] = merged_df['Request URL #1'].apply(self.cleanser)
merged_df['Request Headers #1'] = merged_df['Request Headers #1'].apply(self.cleanser)
merged_df['Response #1'] = merged_df['Response #1'].apply(self.cleanser)
merged_df['Evidence #1'] = merged_df['Evidence #1'].apply(self.cleanser)
merged_df['QID_y'] = merged_df['QID_y'].apply(self.cleanser)
merged_df['Id'] = merged_df['Id'].apply(self.cleanser)
merged_df['Title'] = merged_df['Title'].apply(self.cleanser)
merged_df['Category'] = merged_df['Category'].apply(self.cleanser)
merged_df['Severity Level'] = merged_df['Severity Level'].apply(self.cleanser)
merged_df['Groups'] = merged_df['Groups'].apply(self.cleanser)
merged_df['OWASP'] = merged_df['OWASP'].apply(self.cleanser)
merged_df['WASC'] = merged_df['WASC'].apply(self.cleanser)
merged_df['CWE'] = merged_df['CWE'].apply(self.cleanser)
merged_df['CVSS Base'] = merged_df['CVSS Base'].apply(self.cleanser)
merged_df['CVSS Temporal'] = merged_df['CVSS Temporal'].apply(self.cleanser)
merged_df['Description'] = merged_df['Description'].apply(self.cleanser)
merged_df['Impact'] = merged_df['Impact'].apply(self.cleanser)
merged_df['Solution'] = merged_df['Solution'].apply(self.cleanser)
merged_df = merged_df.drop(['QID_y', 'QID_x'], axis=1)
merged_df = merged_df.rename(columns={'Id': 'QID'})
return merged_df
def download_file(self, file_id):
report = self.qw.download_report(file_id)
filename = file_id + '.csv'
file_out = open(filename, 'w')
for line in report.splitlines():
file_out.write(line + '\n')
file_out.close()
print('File written to %s' % filename)
return filename
def process_data(self, file_id):
"""Downloads a file from qualys and normalizes it"""
download_file = self.download_file(file_id)
print('Downloading file ID: %s' % file_id)
report_data = self.grab_sections(download_file)
merged_data = self.data_normalizer(report_data)
return merged_data