Cyber crime, like any crime, has its motives; each malware has its own malicious profit. Spyware spies on you. Ransomware demands a ransom to decrypt your private digital data. Phishing Malware phishes for your username, password or account numbers. Installation-fraud achieves fake software installations. Ad fraud fraudulently represents online advertisement impressions, clicks, conversion or data … Read More
Posts in "Android"
Zimperium’s core machine learning engine, z9, has a proven track record of detecting zero-day exploits. We recently announced an extension of the framework that detects previously unknown mobile malware. This extension is known as “z9 for Mobile Malware”, and was officially announced in September 2017. Internally, the code name has been “Cogito”, so this research … Read More
Zimperium discovered and reported a fake version of the popular Snapchat app in the official Google Play Store; At the time of our discovery, it was the second result when searching for “Snapchat”. The fake version of Snapchat app is using “Snap Inc .” as Company Name, with a ” .” appended to original name. … Read More
In 1975, a book was published that changed the way we approach complex problems. Inspired on how nature works “Adaptation in Natural and Artificial Systems” set the bases of genetic algorithms. The release date of this blogpost is strongly linked to that book, it is a symbolic tribute to its author, John Henry Holland, who … Read More
Introduction In this blogpost I describe the history of z9, our detection engine. I will show its performance over reference data sets commonly used in the machine learning community. I’ll then describe how we apply it to detect networks attacks without any type of packet inspection. Eventually, we encourage you to participate by helping us gather and validate performance data from … Read More