Database tracking for processed Qualys scans

This commit is contained in:
Austin Taylor
2017-12-30 11:20:31 -05:00
parent 469f3fee81
commit 07a99eda54
2 changed files with 111 additions and 65 deletions

View File

@ -358,7 +358,7 @@ class qualysUtils:
return dp.parse(dt).strftime('%s')
def cleanser(self, _data):
repls = (('\n', '|||'), ('\r', '|||'), (',', ';'), ('\t', '|||'), ('""', "''"))
repls = (('\n', '|||'), ('\r', '|||'), (',', ';'), ('\t', '|||'))
if _data:
_data = reduce(lambda a, kv: a.replace(*kv), repls, str(_data))
return _data
@ -445,46 +445,40 @@ class qualysWebAppReport:
def grab_sections(self, report):
all_dataframes = []
dict_tracker = {}
with open(report, 'rb') as csvfile:
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
dict_tracker['WEB_APP_VULN_BLOCK'] = pd.DataFrame(self.utils.grab_section(report,
self.WEB_APP_VULN_BLOCK,
end=[self.WEB_APP_SENSITIVE_BLOCK,
self.WEB_APP_INFO_BLOCK],
pop_last=True),
columns=self.WEB_APP_VULN_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
pop_last=True), columns=self.WEB_APP_VULN_HEADER)
dict_tracker['WEB_APP_SENSITIVE_BLOCK'] = pd.DataFrame(self.utils.grab_section(report,
self.WEB_APP_SENSITIVE_BLOCK,
end=[self.WEB_APP_INFO_BLOCK,
self.WEB_APP_SENSITIVE_BLOCK],
pop_last=True),
columns=self.WEB_APP_SENSITIVE_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
pop_last=True), columns=self.WEB_APP_SENSITIVE_HEADER)
dict_tracker['WEB_APP_INFO_BLOCK'] = pd.DataFrame(self.utils.grab_section(report,
self.WEB_APP_INFO_BLOCK,
end=[self.QID_HEADER],
pop_last=True),
columns=self.WEB_APP_INFO_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
pop_last=True), columns=self.WEB_APP_INFO_HEADER)
dict_tracker['QID_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.QID_HEADER,
end=[self.GROUP_HEADER],
pop_last=True),
columns=self.QID_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
pop_last=True), columns=self.QID_HEADER)
dict_tracker['GROUP_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.GROUP_HEADER,
end=[self.OWASP_HEADER],
pop_last=True),
columns=self.GROUP_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
pop_last=True), columns=self.GROUP_HEADER)
dict_tracker['OWASP_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.OWASP_HEADER,
end=[self.WASC_HEADER],
pop_last=True),
columns=self.OWASP_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
pop_last=True), columns=self.OWASP_HEADER)
dict_tracker['WASC_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.WASC_HEADER, end=[['APPENDIX']],
pop_last=True),
columns=self.WASC_HEADER))
all_dataframes.append(pd.DataFrame(self.utils.grab_section(report,
self.CATEGORY_HEADER),
columns=self.CATEGORY_HEADER))
pop_last=True), columns=self.WASC_HEADER)
dict_tracker['CATEGORY_HEADER'] =pd.DataFrame(self.utils.grab_section(report,
self.CATEGORY_HEADER), columns=self.CATEGORY_HEADER)
all_dataframes.append(dict_tracker)
return all_dataframes
@ -494,6 +488,13 @@ class qualysWebAppReport:
:param dataframes:
:return:
"""
df_dict = dataframes[0]
merged_df = pd.concat([df_dict['WEB_APP_VULN_BLOCK'], df_dict['WEB_APP_SENSITIVE_BLOCK'],
df_dict['WEB_APP_INFO_BLOCK']], axis=0,
ignore_index=False)
merged_df = pd.merge(merged_df, df_dict['QID_HEADER'], left_on='QID',
right_on='Id')
merged_df = pd.concat([dataframes[0], dataframes[1],
dataframes[2]], axis=0,
@ -508,9 +509,10 @@ class qualysWebAppReport:
'Request Headers #1', 'Response #1', 'Evidence #1',
'Description', 'Impact', 'Solution', 'Url', 'Content']
#for col in columns_to_cleanse:
# merged_df[col] = merged_df[col].astype(str).apply(self.utils.cleanser)
for col in columns_to_cleanse:
merged_df[col] = merged_df[col].astype(str).apply(self.utils.cleanser)
merged_df = pd.merge(merged_df, df_dict['CATEGORY_HEADER'])
merged_df = merged_df.drop(['QID_y', 'QID_x'], axis=1)
merged_df = merged_df.rename(columns={'Id': 'QID'})
merged_df = merged_df.replace('N/A','').fillna('')
@ -673,41 +675,41 @@ class qualysScanReport:
self.WEB_SCAN_INFO_BLOCK,
self.WEB_SCAN_SENSITIVE_BLOCK],
pop_last=True),
columns=self.WEB_SCAN_SENSITIVE_HEADER)
columns=self.WEB_SCAN_SENSITIVE_HEADER)
dict_tracker['WEB_SCAN_INFO_BLOCK'] = pd.DataFrame(self.utils.grab_section(report,
self.WEB_SCAN_INFO_BLOCK,
end=[self.QID_HEADER],
pop_last=True),
columns=self.WEB_SCAN_INFO_HEADER)
columns=self.WEB_SCAN_INFO_HEADER)
dict_tracker['QID_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.QID_HEADER,
end=[self.GROUP_HEADER],
pop_last=True),
columns=self.QID_HEADER)
columns=self.QID_HEADER)
dict_tracker['GROUP_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.GROUP_HEADER,
end=[self.OWASP_HEADER],
pop_last=True),
columns=self.GROUP_HEADER)
columns=self.GROUP_HEADER)
dict_tracker['OWASP_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.OWASP_HEADER,
end=[self.WASC_HEADER],
pop_last=True),
columns=self.OWASP_HEADER)
columns=self.OWASP_HEADER)
dict_tracker['WASC_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.WASC_HEADER, end=[['APPENDIX']],
pop_last=True),
columns=self.WASC_HEADER)
columns=self.WASC_HEADER)
dict_tracker['SCAN_META'] = pd.DataFrame(self.utils.grab_section(report,
self.SCAN_META,
end=[self.CATEGORY_HEADER],
pop_last=True),
columns=self.SCAN_META)
columns=self.SCAN_META)
dict_tracker['CATEGORY_HEADER'] = pd.DataFrame(self.utils.grab_section(report,
self.CATEGORY_HEADER),
columns=self.CATEGORY_HEADER)
columns=self.CATEGORY_HEADER)
all_dataframes.append(dict_tracker)
return all_dataframes