Read Part 1 here.
Learn how Lastline’s process snapshotting supports malware analysis by capturing snapshots at various points throughout a malware program’s execution, allowing for deeper manual malware analysis by security researchers.
Topics: Lastline Enterprise, Email Security, Process Snapshotting, Advanced Persistent Threats, Data Breach, malware, lastline, anti malware, deep manual analysis, static analysis, web security, dynamic analysis, malware protection
Leveraging the new clustering feature of the Lastline Knowledge Base to study recent ransomware threats
Lastline’s solutions analyze network traffic, programs, documents, and other artifacts to identify and block advanced malware in enterprise networks.
In order to be able to easily integrate its functionality in the security workflow of the enterprise, Lastline products provide access to their functionality through APIs.
Authored by: Subrat Sarkar, Arunpreet Singh, and Clemens Kolbitsch
Point-of-sale (POS) systems are amongst the most valuable targets for attackers today: with direct access to systems processing payment information, miscreants are able to circumvent any encryption between point-of-sale devices and the payment processor, allowing them to spy on - or even tamper with - sensitive payment information.
With ModPOS malware authors have developed a system that not only compromises payment processes at the origin device, but, at the same time, it does so from the kernel of these systems, well outside the reach of most security solutions.
As we will describe in this post, the ModPOS malware is much more than a system for compromising POS systems: it is a versatile framework that allows an attacker to leverage a practically unlimited range of tools to interfere with a compromised system. Even more, this malware works on any 32-bit Microsoft Windows system (many POS systems on the market today are still running on Microsoft Windows XP) allowing to use this malware on more than just POS systems.
Every day, our Lastline sensors observe millions of files that our customers download from the Internet or receive as email attachments. These files are analyzed and, in many cases, executed or opened inside our sandbox. The sandbox is a secure, instrumented analysis environment where we can safely look for interesting behaviors that indicate bad intentions and outright malice.
Every once in a while, we take a step back and look at the malicious behaviors that we have seen. Malware authors always look for new ways to make money, get access to sensitive data, and evade detection. They introduce new behaviors, refine ideas that they have tried in the past, and add tricks to bypass security controls. By looking over the data collected over the last year, we discovered a few interesting trends that show some of the directions that malware authors take. In this research note, we discuss three findings that struck us as interesting and worth reporting. As a forth bonus item, we also revisit evasive behaviors, something that we have been tracking for many years.
In October 2015, at the ACM CCS 2015 conference, my colleagues Dennis Andriesse and Victor van der Veen from the Vrije Universiteit Amsterdam presented a paper, co-authored by me, a researcher at Lastline Labs, on control-flow integrity entitled "Practical Context-Sensitive CFI". This paper discusses PathArmor, a system that protects users from exploits using return-oriented programming (ROP) to launch an attacker’s code on the victim machine.