New results related to our research about Linux/Moose, an IoT botnet that conducts social media fraud (SMF), were published in the scientific journal, Social Media & Society, last week. The article is open-source and available at: http://dl.acm.org/citation.cfm?id=3097301. However, if you don’t want to bother reading it, we have provided below a quick summary of the main findings. In general, the study assesses the market for social media fraud.
In the last few days, we closely followed the malicious software outbreak that took control of about 12,500 devices, mostly in Ukraine and Russia, demanding a $300 ransom from the infected device’s owner. Although this new attack is fascinating, we noticed that the associated stories quickly got out of hand.
To remain in business, companies rely on perimeter security to protect, among other, their “secret sauce” recipe and the confidential information of their customers. To this end, information security vendors offer different types of defenses. The intent is commendable and the organization then feels confident, warm and cozy behind its firewall. However, there is something fishy.
At the moment, Java deserialization vulnerabilities are becoming well known by vendors and attackers. Nevertheless, pentesters will still encounter these types of vulnerabilities. The low-hanging fruits can be identified with the current tools. Most of the available tools rely on the command execution API. However, the command from the payload may fail because of Operating System specific conditions.