boko.py is an application scanner for macOS that searches for and identifies potential dylib hijacking and weak dylib vulnerabilities for application executables, as well as scripts an application may use that have the potential to be backdoored. The tool also calls out interesting files and lists them instead of manually browsing the file system for analysis. With the active discovery function, there's no more guess work if an executable is vulnerable to dylib hijacking!

The reason behind creating this tool was because I wanted more control over the data Dylib Hijack Scanner discovered. Most publicly available scanners stop once they discover the first case of a vulnerable dylib without expanding the rest of the rpaths. Since sometimes the first result is expanded in a non-existent file within a SIP-protected area, I wanted to get the rest of those expanded paths. Because of this, there are false positives, so the tool assigns a certainty field for each item.

The backbone of this tool is based off of scan.py from DylibHijack by Patrick Wardle (@synack).

Check out the Wiki for more information on how to use boko and how to use it as a class for your own purposes.

Usage:

boko.py [-h] (-r | -i | -p /path/to/app) (-A | -P | -b) [-oS outputfile | -oC outputfile | -oA outputfile] [-s] [-v]

Parameters:

It is recommended only to use active mode (-A) with the -p flag and selecting a specific program. Also, it's a good idea to use -v with -oS or -oA, unless you are only looking for definite certainty vulnerabilities.

Warning Note: It is highly discouraged to run this tool with the -i and (-A or -b) flags together. This combination will open every executable on your system for 3 seconds at a time. I do not take any responsibility for your system crashing or slowing down because you ran that. Additionally, if you have dormant malware on your system, this will execute it. I also recommend not scanning the whole /Applications directory if you have Xcode installed because it takes a very long time.

Requirements:

• Python 3
• python -m pip install psutil

Process Flow:

Passive mode:

Running:

• Identify all running processes on system
• Obtain full path of running executable
• Read executables and identify macho headers
• Identify dylib relative paths that are loaded and check if files exist in that location
• Output hijackable dylibs and weak dylibs for running applications

Installed/Application:

• Scan full directory of application for all files
• Identify executable files, scripts, and other interesting files in application directory
• Read executables and identify macho headers or if the file is a script
• Identify dylib relative paths that are loaded and check if files exist in that location
• Output hijackable dylibs, weak dylibs, backdoorable scripts, and interesting files (verbose only)

Active mode:

Running:

• Identify all running processes on system
• Obtain full path of running executable
• Read executables and identify macho headers
• Execute the executable binaries for 3 seconds and analyze rpaths that are attempted to load
• Output hijackable dylibs and weak dylibs for running applications

Application:

• Scan full directory of application for all files
• Identify executable files, scripts, and other interesting files in application directory
• Read executables and identify macho headers or if the file is a script
• Execute the executable binaries for 3 seconds and analyze rpaths that are attempted to load
• Output hijackable dylibs, weak dylibs, backdoorable scripts, and interesting files (verbose only)

Suggested Improvements:

• Multi-threading for quicker full system scan

Coded by Jesse Nebling (@bashexplode)