Qualys Vulnerability Management integration (#74)

* Add Qualys vulnerability scans

* Use non-zero exit codes for failures

* Convert to strings for Logstash

* Update logstash config for vulnerability scans

* Update README

* Grab all scans statuses

* Add Qualys vulnerability scans

* Use non-zero exit codes for failures

* Convert to strings for Logstash

* Update logstash config for vulnerability scans

* Update README

* Grab all scans statuses

* Fix error: "Cannot convert non-finite values (NA or inf) to integer"

When trying to download the results of Qualys Vulnerability Management scans, the following error pops up:

[FAIL] - Could not process scan/xxxxxxxxxx.xxxxx - Cannot convert non-finite values (NA or inf) to integer

This error is due to pandas operating with the scan results json file, as the last element from the json doesn't fir with the rest of the response's scheme: that element is "target_distribution_across_scanner_appliances", which contains the scanners used and the IP ranges that each scanner went through.

Taking out the last line solves the issue.

Also adding the qualys_vuln scheme to the frameworks_example.ini
This commit is contained in:
qmontal
2018-07-05 19:34:02 +02:00
committed by Austin Taylor
parent 3ac9a8156a
commit 7f2c59f531
5 changed files with 276 additions and 12 deletions

View File

@ -0,0 +1,114 @@
#!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'Nathan Young'
import xml.etree.ElementTree as ET
import pandas as pd
import qualysapi
import requests
import sys
import os
import dateutil.parser as dp
class qualysWhisperAPI(object):
SCANS = 'api/2.0/fo/scan'
def __init__(self, config=None):
self.config = config
try:
self.qgc = qualysapi.connect(config)
# Fail early if we can't make a request or auth is incorrect
self.qgc.request('about.php')
print('[SUCCESS] - Connected to Qualys at %s' % self.qgc.server)
except Exception as e:
print('[ERROR] Could not connect to Qualys - %s' % e)
exit(1)
def scan_xml_parser(self, xml):
all_records = []
root = ET.XML(xml)
for child in root.find('.//SCAN_LIST'):
all_records.append({
'name': child.find('TITLE').text,
'id': child.find('REF').text,
'date': child.find('LAUNCH_DATETIME').text,
'type': child.find('TYPE').text,
'duration': child.find('DURATION').text,
'status': child.find('.//STATE').text,
})
return pd.DataFrame(all_records)
def get_all_scans(self):
parameters = {
'action': 'list',
'echo_request': 0,
'show_op': 0,
'launched_after_datetime': '0001-01-01'
}
scans_xml = self.qgc.request(self.SCANS, parameters)
return self.scan_xml_parser(scans_xml)
def get_scan_details(self, scan_id=None):
parameters = {
'action': 'fetch',
'echo_request': 0,
'output_format': 'json_extended',
'mode': 'extended',
'scan_ref': scan_id
}
scan_json = self.qgc.request(self.SCANS, parameters)
# First two columns are metadata we already have
# Last column corresponds to "target_distribution_across_scanner_appliances" element
# which doesn't follow the schema and breaks the pandas data manipulation
return pd.read_json(scan_json).iloc[2:-1]
class qualysUtils:
def __init__(self):
pass
def iso_to_epoch(self, dt):
return dp.parse(dt).strftime('%s')
class qualysVulnScan:
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.utils = qualysUtils()
if config:
try:
self.qw = qualysWhisperAPI(config=config)
except Exception as e:
print('Could not load config! Please check settings for %s' \
% e)
if file_stream:
self.open_file = file_in.splitlines()
elif file_in:
self.open_file = open(file_in, 'rb')
self.downloaded_file = None
def process_data(self, scan_id=None):
"""Downloads a file from Qualys and normalizes it"""
print('[ACTION] - Downloading scan ID: %s' % scan_id)
scan_report = self.qw.get_scan_details(scan_id=scan_id)
keep_columns = ['category', 'cve_id', 'cvss3_base', 'cvss3_temporal', 'cvss_base', 'cvss_temporal', 'dns', 'exploitability', 'fqdn', 'impact', 'ip', 'ip_status', 'netbios', 'os', 'pci_vuln', 'port', 'protocol', 'qid', 'results', 'severity', 'solution', 'ssl', 'threat', 'title', 'type', 'vendor_reference']
scan_report = scan_report.filter(keep_columns)
scan_report['severity'] = scan_report['severity'].astype(int).astype(str)
scan_report['qid'] = scan_report['qid'].astype(int).astype(str)
return scan_report