A simple script to visualize and find bypasses in RES Workspace Manager application restrictions

• Finding possible paths to reach a targeted resource such as an executable program
• Visually displaying rules as an oriented graph

$ python reswmsecanalyzer.py -h
Usage: reswmsecanalyzer.py [options]
Version: 1.0

Options:
  -h, --help            show this help message and exit

  Main parameters:
    -i INPUT_FILE, --input-file=INPUT_FILE
                        sec_globauth.xml file containing the security rules
    -t TARGET, --target=TARGET
                        Program or file name you want to reach, globbing
                        format accepted (Ex: cmd.exe, *cmd*)

  Optional parameters:
    -g, --graph         Draw and show the graph with matplot
    -o OUTPUT_GRAPH, --output-graph=OUTPUT_GRAPH
                        Filename to save the png graph (Ex. -o test.png)

On a protected environment (physical/logical/virtualized workstation):

• The whole configuration is stored in this directory
  C:\Program Files (x86)\RES Software\Workspace Manager\Data\DBCache\Objects\
• The application security rules are stored in this file
  C:\Program Files (x86)\RES Software\Workspace Manager\Data\DBCache\Objects\sec_globauth.xml
• Workspace access control (if implemented) is defined in the following file
  C:\Program Files (x86)\RES Software\Workspace Manager\Data\DBCache\Objects\workspaces.xml

• Some example rules and their associated graphs are provided in the reswmsecanalyzer/examples folder. For each example, a pretty-print version _prettyprint.xml is also included
• For the reswmsecanalyzer/examples/multiple-rules:
  • The policy defined in the RES Console looks like:
  • Searching a path to cmd gives that:

  $ python reswmsecanalyzer.py -i examples/multiple-rules/sec_globauth.xml -t cmd -g
  [+] Number of enabled rules: 4
  [+] Possible path to 'cmd.exe': ['.', 'calc.exe', 'cmd.exe']
  [+] Possible path to 'cmd.exe': ['.', 'notepad.exe', 'cmd.exe']
  

  

• The easiest way: pip install reswmsecanalyzer
• Or pip install -r requirements.txt
• Or installing manually each dependency:
  • Python NetworkX: apt-get install python-networkx or pip install networkx
  • Python Matplotlib: apt-get install python-matplotlib or pip install matplotlib

• Improve the possible path output description
• Add csv output
• Take into account edge constraints such as workspace access control
• Use some dynamic representation, like D3JS