we found a new sample that may be related to the MuddyWater campaign. Like the previous campaigns, these samples again involve a Microsoft Word document embedded with a malicious macro that is capable of executing PowerShell scripts leading to a backdoor payload. One notable difference in the analyzed samples is that they do not directly download the Visual Basic Script and PowerShell component files, and instead encode all the scripts on the document itself.
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This month’s Patch Tuesday entry patched a number of critical vulnerabilities from Microsoft and Adobe, including a DNS-related vulnerability, CVE-2018-8225 and a critical Flash Player vulnerability, CVE-2018-5002.
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Although many tax scams purely rely on social engineering, other campaigns make use of more sophisticated tools and techniques. We found and analyzed one such campaign delivering the notorious banking trojan known as URSNIF to North American targets.
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An exploit kit such as Rig usually starts off with a threat actor compromising a website to inject a malicious script/code that eventually redirects would-be victims to the exploit kit’s landing page. Sometime around February to March last year, however, we saw Rig’s Seamless campaign adding another layer or gate before the actual landing page.
Along with updates in code, we also observed Rig integrating a cryptocurrency-mining malware as its final payload. Based on the latest activities we’ve observed from Rig, they’re now also exploiting CVE-2018-8174, a remote code execution vulnerability patched in May and reported to be actively exploited. The exploit also appears to be from a recently disclosed proof of concept. The security flaw affects systems running Windows 7 and later operating systems, and the exploit works through Internet Explorer (IE) and Microsoft Office documents that use the vulnerable script engine.
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Using our IoT Smart Checker, a tool that scans networks for potential security risks, we looked into home and other small network environments and the vulnerabilities that connected devices usually encounter. Our findings homed in on known vulnerabilities, IoT botnets with top vulnerability detections, and devices that are affected.
From April 1 to May 15, we observed that 30 percent of home networks had at least one vulnerability detection. A detection would mean that we found at least one connected device being accessed through a vulnerability in the network. Our scanning covered different operating systems (OSs), including Linux, Mac, Windows, Android, iOS, and other software development kit (SDK) platforms.