Windows executable analysis is a key aspect of Digital Forensics and Reverse Malware Engineering. Identifying the capabilities of a program can help to target potential malicious code and orient the later reverse code analysis phase. In this blogpost, we will dive into the structure of the Windows Portable Executable (PE) and how we can extract the imported functions in the context of memory analysis.
Video games have become an integral part of our culture, providing entertainment and social opportunities. Unfortunately, criminals have also begun to take advantage of modern video games and their ever-growing capabilities to conduct illegal activities. Organized crime, hate spread, and pedophilia have been documented occurring within games, opening up the potential to a world of cybercrime.
Digital forensics on the Steam application can be especially useful for law enforcement in tracking down and prosecuting these cybercriminals. By investigating video game applications like Steam, digital footprints that can be used to link individuals to games, transactions, and even other players. Once these links are established, they can then used to build a case against the perpetrators. In this article, the reader will learn about some artifacts that can give releavant information left on a disk during a post-mortem analysis.
Note : All of the information about the investigated user displayed in the following findings are redacted.
On May 1st, 2023, vdhoney1 raised concerns about a flaw he found impacting KeePass 2.X.2. Vdhoney claimed to be able to reconstruct the master password from memory. A POC 3 was later released by the researcher not only in dotnet but also in python34.
Today in this blog post we will describe the vulnerability and see how we can create a volatility3 plugin to help forensics investigators to retrieve passwords from memory.
Malware analysis is very useful when performing a digital investigation. Indeed, identifying how a malware works and determining its behavior is very useful to detect future attacks, other compromised equipment, make critical choices and discover new TTPs. In this blog article, we will dive into the behavioral analysis of the latest QBOT campaign using malicious OneNote documents as an initial vector to compromise a host and deploy stealers. This article will demonstrate a use case of VISION-ProcMon for behavioral analysis.
Note: This blog post is not a complete analysis of the sample but simply demonstrate the capabilities of the tool.
When performing incident response, the adversary often uses legitimate remote access software as an interactive command and control channel. AnyDesk1 is one of those software being extensively used as a sublayer of persistence by threat actors or access other servers in the environment via RDP2. The latter has been often encountered in the wild in the past years as a preferred tool leveraged by known threat actors.
As such, Anydesk should be closely monitored as threat actors could easily alter or delete data after a successful attack; sometimes it is not possible to restore those altered logs. Defending against malicious actions with such remote software can be even more intricate for organizations having approved its legitimate usage. Here we propose to leverage memory forensics to retrieve and analyze artefacts thanks to a custom Volatility plugin that I made available as a free open-source tool for improving digital investigations.
Windows prefetch files are temporary files stored in the %SystemRoot%\System\Prefetch folder. This memory management feature is keeping track of the frequently running applications on a given system. We can extract some data from those files in order to get useful information for a digital forensic investigation. In this blog article, I will explain how we can use memory forensic to extract prefetch files, parse them and create in the end a volatility3 plugin.