Articles and tools about Python, Cyber Security and more.
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.
olevba is a script to parse OLE and OpenXML files such as MS Office documents (e.g. Word, Excel), to detect VBA Macros, extract their source code in clear text, decode malware obfuscation (Hex/Base64/StrReverse/Dridex) and detect security-related patterns such as auto-executable macros, suspicious VBA keywords used by malware, and potential IOCs (IP addresses, URLs, executable filenames, etc). It is part of the python-oletools package.
This article describes the Microsoft Office 97-2003 legacy/binary file formats (doc, xls, ppt), related security issues and useful resources.
This article presents several tools that can be used to extract VBA Macros source code from MS Office Documents, for malware analysis and forensics. It also provides an overview of how VBA Macros are stored.
oletimes is a script to parse OLE files such as MS Office documents (e.g. Word, Excel), to extract creation and modification times of all streams and storages in the OLE file. It is part of the python-oletools package.
olemeta is a script to parse OLE files such as MS Office documents (e.g. Word, Excel), to extract all standard properties present in the OLE file. It is part of the python-oletools package.
Since version 0.32, OleFileIO_PL comes with experimental write features. For now it is possible to write sectors, and to write over an existing stream. More features will be added over time.
This article presents several new open source frameworks meant to simplify static file scanning for malware analysis and incident response: MASTIFF, Viper, IRMA and a few others. Their goal is to provide an extensible framework to integrate many existing scanning tools.
This article explains how I converted Signsrch signatures to Yara rules, in order to include them in my tool Balbuzard. Signsrch signatures are useful for malware analysis, to detect standard constants used in many encryption and compression algorithms, and also some anti-debugging code.
Balbuzard is a package of malware analysis tools in python to extract patterns from suspicious files (IP addresses, domain names, known file headers, interesting strings, etc). It can also crack malware obfuscation such as XOR, ROL, etc by bruteforcing and checking for those patterns.