New tool: PESTO, PE (files) Statistical Tool

One of the fundamental threats in security are vulnerabilities in general and, in particular, being able to exploit them to execute code. Historically, dozens of technologies have been developed to mitigate exploits in Windows, creating barriers for stopping a vulnerability ending up in a code execution. Many of this countermeasures or barriers need the «to-be-protected binary» to be compiled with a particular option enabled for the protection to be real. PESTO PE(files) Statistical Tool has been created to be able to analyze how and how many files are protected in the operative system.

PESTO sample of execution

Description
 
This is a Python script (that needs to import pefile library) that extracts and saves in a database some PE file security characteristics or flags, searching for every PE binary in a whole directory, and saving results into a database.
It checks for architecture flag in the header, and for the following security flags: ASLR, NO_SEH, DEP and CFG. It searches for every PE binary in a whole directory, and saves results into a database. Code is clear enough to modify flags and formats to your own needs.

More details and flag explanation in here: https://www.slideshare.net/elevenpaths/anlisis-del-nivel-proteccin-antiexploit-en-windows-10

Functionality

The script just needs a path and a tag. The program will go through the path and subdirectories searching for .DLL and .EXE files and extracting the flags in the PE header (thanks to pefile python library). The program requires a tag that will be used as a suffix for logs and database filenames, so different analysis can be done in the same directory.
The information provided by the script is:

• Percentage of .DLL and .EXE files with i386, AMD64 or other architecture.
• Percentage of ASLR, NO_SEH, DEP and CFG flags enabled or disabled in the headers.
• After finishing the analysis it will prompt to export results in a SQL or CSV format.

It will create as well a .db file which is a sqlite file with the information collected.

PESTO is available from our GitHub. Hope you find it useful.