Introduction The group behind Emotet malware is getting smarter and smarter in the way the deliver such a Malware. While the infection schema looks alike from years; the way the group tries to infect victims improves from day to day.Today I’d like to share a quick analysis resulted by a very interesting email which claimed […]Read more "Is Emotet gang targeting companies with external SOC?"
Nowadays one of the most frequent cybersecurity threat comes from Malicious (office) document shipped over eMail or Instant Messaging. Some analyzed threats examples include: Step By Step Office Dropper Dissection, Spreading CVS Malware over Google, Microsoft Powerpoint as Malware Dropper, MalHIDE, Info Stealing: a New Operation in the Wild, Advanced All in Memory CryptoWorm, etc. […]Read more "Frequent VBA Macros used in Office Malware"
From time to time we might observe special Malware storing themselves into a MBR and run during the booting process. Attackers could use this neat technique to infect and to mess-up your disk and eventually asking for a ransom before restoring original disk-configurations (Petya was just one of the most infamous boot-ransomware). But this is […]Read more "Writing Your First Bootloader for Better Analyses"
Many state sponsored groups have been identified over time, many of them have different names (since discovered by different organizations) and there is no an agreed standardization on the topic but many victims and some interests look very tight together. From here the idea to compare the leaked source code of two different state sponsored […]Read more "Similarities and differences between MuddyWater and APT34"
Today I want to share a quick analysis on a new leaked APT34 Tool in order to track similarities between APT34 public available toolsets. This time is the APT34 Jason – Exchange Mail BF project to be leaked by Lab Dookhtegan on June 3 2019. Context According to FireEye, APT 34 has been active since […]Read more "APT34: Jason project"
During the past few weeks I received several emails asking how to dissect Office Payloads. While I was thinking on how to answer to such a questions I received a MalSpam with a Microsoft Office document attached by sheer coincidence, so I decided to write little bit on it. This is not going to be […]Read more "Step By Step Office Dropper Dissection"
Data breaches happen. Today, as never before, data plays a fundamental role in our real life. Everybody is both: dataproducer and dataconsumer. We are data producer by simply moving from one building to another one, having a smartphone in our pocket or surfing the web or just by tapping on smartphone applications. We are data consumer […]Read more "How to data breaches happen"
Today I’d like to share the following reverse engineering path since it ended up to be more complex respect what I thought. The full path took me about hours work and the sample covers many obfuscation steps and implementation languages. During the analysis time only really few Antivirus (6 out of 60) were able to […]Read more "Interesting hidden threat since years ?"
Machine learning (ML) is a great approach to detect Malware. It is widely used among technical community and scientific community with two different perspectives: Performance V.S Robustness. The technical community tries to improve ML performances in order to increase the usability on large scale while scientific community is focusing on robustness by meaning how easy […]Read more "Attacking Machine Learning Detectors: the state of the art review"
Nowadays is hard to give strong definitions on what are the differences between Security Operation Centers (SOC), Computer Emergency Response Teams (CERT) and Computer Security Incident Response Teams (CSIRT) since they are widely used in many organisations accomplishing very closed and similar tasks. Robin Ruefle (2007) on her paper titled “Defining Computer Security Incident Response […]Read more "CERTs, CSIRTs and SOCs after 10 years from definitions"