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"
Nowadays Microsoft office documents are often used to propagate Malware acting like dynamic droppers. Microsoft Excel within macros or Microsoft Word with user actions (like links or external OLE objects) are the main player in this “Office Dropping Arena”. When I figured out that a Microsoft Powerpoint was used to drop and to execute a […]Read more "Microsoft Powerpoint as Malware Dropper"
Today I’d like to share an interesting analysis of a Targeted Attack found and dissected by Yoroi (technical details are available here). The victim was one of the most important leader in the field of security and defensive military grade Naval ecosystem in Italy. Everything started from a well crafted email targeting the right office […]Read more "MartyMcFly Malware: Targeting Naval Industry"
Today I’d like to share a simple analysis based on fascinating threat that I like to call Sustes (you will see name genesis in a bit). Everybody knows Monero crypto currency and probably everybody knows that it has built upon privacy, by meaning It’s not that simple to figure out Monero wallet balance. Sustes (mr.sh) is […]Read more "Sustes Malware: CPU for Monero"
Today I’d like to share a full path analysis including a KickBack attack which took me to gain full access to an entire Ursniff/Gozi BotNet . In other words: from a simple “Malware Sample” to “Pwn the Attacker Infrastructure”. NB: Federal Police has already been alerted on such a topic as well as National […]Read more "Hacking The Hacker. Stopping a big botnet targeting USA, Canada and Italy"
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"