Articles and tools about Python, Cyber Security and more.
Here is a list of all articles and presentations I have published about Cyber Security so far.
Here is the list of open-source Python projects that I am maintaining or contributing to.
olefile (formerly OleFileIO_PL) is a Python package to parse, read and write Microsoft OLE2 files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), such as Microsoft Office 97-2003 documents, vbaProject.bin in MS Office 2007+ files, Image Composer and FlashPix files, Outlook MSG files, StickyNotes, several Microscopy file formats, McAfee antivirus quarantine files, etc.
Many malware analysts like to use the VB Editor in MS Word or Excel to analyze malicious macros, because it provides a nice debugging environment. It is a convenient solution to run VBA code in its native context, in order to unmask heavily obfuscated macros.
python-oletools is a package of python tools to analyze Microsoft OLE2 files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), such as Microsoft Office documents or Outlook messages, mainly for malware analysis, forensics and debugging. It is based on my olefile parser.
ViperMonkey is an experimental toolkit that I have been developing since early 2015, to parse VBA macros and emulate their execution. This articles shows how it can be used to analyze obfuscated macros and extract hidden strings/IOCs.
This custom Google search engine helps you find malware samples containing specific strings, filenames, hashes or other IOCs. It uses the data indexed by several websites including malwr.com, hybrid-analysis.com, virustotal.com and virusshare.com.
For example, search "VB_Nam" to find malicious VBA macros, or "\objdata" to find RTF files with OLE Package objects.
mraptor is a simple tool designed to detect malicious VBA macros in MS Office files, based on characteristics of the VBA code. This article explains how it works, and how it can be used in practice.
This article describes several anti-analysis tricks found in recent malicious RTF documents, and how I improved rtfobj to handle them.
A few days ago, @Bry_Campbell told me about a strange sample with a malicious macro, that could not be fully analyzed with online sandboxes and the usual tools.