From 742a645190341239918d0daa0799219fd188742b Mon Sep 17 00:00:00 2001
From: nate <nate.falke@gmail.com>
Date: Tue, 3 Aug 2021 14:29:00 -0500
Subject: [PATCH] moved dict_tracker assignments into creation

---
 vulnwhisp/frameworks/qualys_web.py | 39 ++++++++++++++++--------------
 1 file changed, 21 insertions(+), 18 deletions(-)

diff --git a/vulnwhisp/frameworks/qualys_web.py b/vulnwhisp/frameworks/qualys_web.py
index 78c6386..b4105f4 100644
--- a/vulnwhisp/frameworks/qualys_web.py
+++ b/vulnwhisp/frameworks/qualys_web.py
@@ -263,67 +263,70 @@ class qualysScanReport:
 
     def grab_sections(self, report):
         all_dataframes = []
-        dict_tracker = {}
-        dict_tracker['WEB_SCAN_VULN_BLOCK'] = pd.DataFrame(
+        dict_tracker = {
+            'WEB_SCAN_VULN_BLOCK': pd.DataFrame(
                 self.utils.grab_section(
                     report,
                     self.WEB_SCAN_VULN_BLOCK,
                     end=[self.WEB_SCAN_SENSITIVE_BLOCK, self.WEB_SCAN_INFO_BLOCK],
                     pop_last=True),
-                columns=self.WEB_SCAN_VULN_HEADER)
-        dict_tracker['WEB_SCAN_SENSITIVE_BLOCK'] = pd.DataFrame(
+                columns=self.WEB_SCAN_VULN_HEADER),
+            'WEB_SCAN_SENSITIVE_BLOCK': pd.DataFrame(
                 self.utils.grab_section(report,
                     self.WEB_SCAN_SENSITIVE_BLOCK,
                     end=[self.WEB_SCAN_INFO_BLOCK, self.WEB_SCAN_SENSITIVE_BLOCK],
                     pop_last=True),
-                columns=self.WEB_SCAN_SENSITIVE_HEADER)
-        dict_tracker['WEB_SCAN_INFO_BLOCK'] = pd.DataFrame(
+                columns=self.WEB_SCAN_SENSITIVE_HEADER),
+            '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)
-        dict_tracker['QID_HEADER'] = pd.DataFrame(
+                columns=self.WEB_SCAN_INFO_HEADER),
+
+            'QID_HEADER': pd.DataFrame(
                 self.utils.grab_section(
                     report,
                     self.QID_HEADER,
                     end=[self.GROUP_HEADER],
                     pop_last=True),
-                columns=self.QID_HEADER)
-        dict_tracker['GROUP_HEADER'] = pd.DataFrame(
+                columns=self.QID_HEADER),
+            'GROUP_HEADER': pd.DataFrame(
                 self.utils.grab_section(
                     report,
                     self.GROUP_HEADER,
                     end=[self.OWASP_HEADER],
                     pop_last=True),
-                columns=self.GROUP_HEADER)
-        dict_tracker['OWASP_HEADER'] = pd.DataFrame(
+                columns=self.GROUP_HEADER),
+            'OWASP_HEADER': pd.DataFrame(
                 self.utils.grab_section(
                     report,
                     self.OWASP_HEADER,
                     end=[self.WASC_HEADER],
                     pop_last=True),
-                columns=self.OWASP_HEADER)
-        dict_tracker['WASC_HEADER'] = pd.DataFrame(
+                columns=self.OWASP_HEADER),
+            'WASC_HEADER': pd.DataFrame(
                 self.utils.grab_section(
                     report,
                     self.WASC_HEADER,
                     end=[['APPENDIX']],
                     pop_last=True),
-                columns=self.WASC_HEADER)
-        dict_tracker['SCAN_META'] = pd.DataFrame(
+                columns=self.WASC_HEADER),
+            'SCAN_META': pd.DataFrame(
                 self.utils.grab_section(report,
                     self.SCAN_META,
                     end=[self.CATEGORY_HEADER],
                     pop_last=True),
-                columns=self.SCAN_META)
-        dict_tracker['CATEGORY_HEADER'] = pd.DataFrame(
+                columns=self.SCAN_META),
+            'CATEGORY_HEADER': pd.DataFrame(
                 self.utils.grab_section(report,
                     self.CATEGORY_HEADER),
                 columns=self.CATEGORY_HEADER)
+        }
         all_dataframes.append(dict_tracker)
 
+
         return all_dataframes
 
     def data_normalizer(self, dataframes):