We created Trend Micro ELF Hash (telfhash), an open-source clustering algorithm that effectively clusters Linux IoT malware created using ELF files.
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We looked into IoT-related discussions from several cybercrime underground communities and found discussions ranging from tutorials to actual monetization schemes for IoT-related attacks. For this entry, we provide an overview of what cybercriminals see as perfect openings for attacks on IoT technologies.
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We uncovered an updated Bashlite malware designed to add infected internet-of-things devices to a distributed-denial-of-service (DDoS) botnet. Based on the Metasploit module it exploits, the malware targets devices with the WeMo Universal Plug and Play (UPnP) application programming interface (API).
This updated iteration of Bashlite is notable. For one, its arrival method is unique in that it doesn’t rely on specific vulnerabilities (e.g., security flaws assigned with CVEs). It instead abuses a publicly available remote-code-execution (RCE) Metasploit module. It now also sports additional DDoS-related commands, and added new ones that gave the malware cryptocurrency mining and backdoor capabilities. It can also deliver malware that removes competing botnet malware.
Read More We identified a new exploit kit we named Novidade that targets home or small office routers by changing their Domain Name System (DNS) settings via cross-site request forgery (CSRF), enabling attacks on a victim’s mobile device or desktop through web applications in which they’re authenticated with. Once the DNS setting is changed to that of a malicious server, the attacker can execute a pharming attack, redirecting the targeted website traffic from all devices connected to the same router.
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In our research Exposed and Vulnerable Critical Infrastructure: Water and Energy Industries, we not only found exposed industrial control system (ICS) human machine interfaces (HMIs) but also pointed out how these systems were at risk. This risk is corroborated by the active interest in water and energy ICSs shown by different kinds of cybercriminal groups.
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