Articles and tools about Python, IT Security and more.

File Formats Security

This is a series of articles about file formats and related security issues. In 2003 I had presented an article in French about this subject at the SSTIC conference: [SSTIC03]. In the following articles I will summarize it in English and provide updated information about common file formats.

My Python projects

List of my open-source Python projects:

My Python howtos

Here is a collection of short articles I have written about how to do many useful things in Python.

Articles and presentations about IT Security

Here is a list of all articles and presentations I've published about IT Security so far.

Python crash course

This is a Python course I have written to quickly teach Python to my colleagues and students, made of slides and samples for hands-on exercises.

Using ExeFilter against PDF exploits and zero-days such as CVE-2009-4324

This short article shows how ExeFilter can be used to disable JavaScript in PDF files, which is effective against many Adobe Reader exploits discovered in 2009, including the recent zero-day CVE-2009-4324.

OVALdi - an open-source local vulnerability assessment scanner

OVALdi, also named the OVAL Interpreter, is an open-source tool developed by MITRE to demonstrate how the OVAL language may be used to scan a computer for vulnerabilities. This article provides a few hints about how to use this tool.

pdfid - a Python module to analyze and clean PDF files

pdfid is a Python tool to analyze and sanitize PDF files, written by Didier Stevens. Here is a version that I have slightly modified to be imported as a module (originally for ExeFilter).

Origapy - a Python module to sanitize PDF files

Origapy is a Python interface to Origami, a PDF parser written in Ruby. It provides access to pdfclean.rb, in order to sanitize PDF files by disabling all active content (javascript, launch actions, embedded files, etc).

SSTIC08 - Dynamic Malware Analysis for Dummies

This article (written in French) was presented at the SSTIC symposium on the 6th June 2008.

It describes several methods to perform malware analysis, especially on Windows platforms. It focuses in detail on dynamic analysis, also called runtime analysis or sandboxing. Dynamic malware analysis consists in running malicious code on a dedicated system, configured to record all its actions to determine its behaviour. It is then possible to quickly determine the nature of the malware and decide how to respond to an incident. The article also shows how to build a simple dynamic malware analysis lab at low cost, provides details about the methodology and suggests how to go further.

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