Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Feb 28 and Mar 6. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are automatically protected from these threats.

As a reminder, the information provided for the following threats in this post is non-exhaustive and current as of the date of publication. Additionally, please keep in mind that IOC searching is only one part of threat hunting. Spotting a single IOC does not necessarily indicate maliciousness. Detection and coverage for the following threats is subject to updates, pending additional threat or vulnerability analysis. For the most current information, please refer to your Firepower Management Center, Snort.org, or ClamAV.net.

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Reference:

20200306-tru.json  – This is a JSON file that includes the IOCs referenced in this post, as well as all hashes associated with the cluster. The list is limited to 25 hashes in this blog post. As always, please remember that all IOCs contained in this document are indicators, and that one single IOC does not indicate maliciousness. See the Read More link above for more details.

Bisonal is a remote access trojan (RAT) that’s part of the Tonto Team arsenal. The peculiarity of the RAT is that it’s been in use for more than 10 years — this is an uncommon and long period for malware. Over the years, it has evolved and adapted mechanisms to avoid detection while keeping the core of its RAT the same. We identified specific functions here for more than six years.

This is an extremely experienced group likely to keep their activities even after exposure, even if we identified mistakes and bad copy/paste, they are doing this job for more than 10 years. We think that exposing this malware, explaining the behavior and the campaigns where Bisonal was used is important to protect the potential future targets. The targets to this point are located in the public and private sectors with a focus on Russia, Japan and South Korea. We recommend the entities located in this area to prepare for this malware and actor and implement detections based on the technical details provided in this article.

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Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Feb 21 and Feb 28. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are automatically protected from these threats.

As a reminder, the information provided for the following threats in this post is non-exhaustive and current as of the date of publication. Additionally, please keep in mind that IOC searching is only one part of threat hunting. Spotting a single IOC does not necessarily indicate maliciousness. Detection and coverage for the following threats is subject to updates, pending additional threat or vulnerability analysis. For the most current information, please refer to your Firepower Management Center, Snort.org, or ClamAV.net.

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Reference:

TRU02282020  – This is a JSON file that includes the IOCs referenced in this post, as well as all hashes associated with the cluster. The list is limited to 25 hashes in this blog post. As always, please remember that all IOCs contained in this document are indicators, and that one single IOC does not indicate maliciousness. See the Read More link above for more details.

Detection of malware is a constant battle between the technologies designed to detect and prevent malware and the authors creating them. One common technique adversaries leverage is packing binaries. Packing an executable is similar to applying compression or encryption and can inhibit the ability of some technologies to detect the packed malware. High entropy is traditionally a tell-tale sign of the presence of a packer, but many malware analysts may have probably encountered low-entropy packers more than once. Numerous popular tools (e.g., PEiD, Manalyze, Detect It Easy), malware-related courses, and even reference books on the topic, affirm that packed malware often shows a high entropy. As a consequence, many researchers use this heuristic in their analysis routines. It is also well known that the tools typically used to detect packers are based on signature matching and may sometimes combine other heuristics, but again, the results are not completely faithful, as many of the signatures that circulate are prone to false positives

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Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Feb 14 and Feb 21. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are automatically protected from these threats.

As a reminder, the information provided for the following threats in this post is non-exhaustive and current as of the date of publication. Additionally, please keep in mind that IOC searching is only one part of threat hunting. Spotting a single IOC does not necessarily indicate maliciousness. Detection and coverage for the following threats is subject to updates, pending additional threat or vulnerability analysis. For the most current information, please refer to your Firepower Management Center, Snort.org, or ClamAV.net.

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Reference:

TRU02212020  – This is a JSON file that includes the IOCs referenced in this post, as well as all hashes associated with the cluster. The list is limited to 25 hashes in this blog post. As always, please remember that all IOCs contained in this document are indicators, and that one single IOC does not indicate maliciousness. See the Read More link above for more details.

By Asheer Malhotra.

• Cisco Talos has observed a malware campaign that utilizes malicious Microsoft Office documents (maldocs) to spread a remote access trojan (RAT) we’re calling “ObliqueRAT.”
• These maldocs use malicious macros to deliver the second stage RAT payload.
• This campaign appears to target organizations in Southeast Asia.
• Network based detection, although important, should be combined with endpoint protections to combat this threat and provide multiple layers of security.

What’s New?

Cisco Talos has recently discovered a new campaign distributing a malicious remote access trojan (RAT) family we’re calling “ObliqueRAT.” Cisco Talos also discovered a link between ObliqueRAT and another campaign from December 2019 distributing CrimsonRAT sharing similar maldocs and macros. CrimsonRAT has been known to target diplomatic and government organizations in Southeast Asia.

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By Vanja Svajcer.

In one of our previous posts, we discussed the usage of default operating system functionality and other legitimate executables to execute the so-called “living-off-the-land” approach to the post-compromise phase of an attack. We called those binaries LoLBins. Since then, Cisco Talos has analyzed telemetry we received from Cisco products and attempted to measure the usage of LoLBins in real-world attacks.

Specifically, we are going to focus on MSBuild as a platform for post-exploitation activities. For that, we are collecting information from open and closed data repositories as well as the behavior of samples submitted for analysis to the Cisco Threat Grid platform.

What’s new?

We collected malicious MSBuild project configuration files and documented their structure, observed infection vectors and final payloads. We also discuss potential actors behind the discovered threats.

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Today, Talos is publishing a glimpse into the most prevalent threats we’ve observed between Feb 7 and Feb 14. As with previous roundups, this post isn’t meant to be an in-depth analysis. Instead, this post will summarize the threats we’ve observed by highlighting key behavioral characteristics, indicators of compromise, and discussing how our customers are automatically protected from these threats.

As a reminder, the information provided for the following threats in this post is non-exhaustive and current as of the date of publication. Additionally, please keep in mind that IOC searching is only one part of threat hunting. Spotting a single IOC does not necessarily indicate maliciousness. Detection and coverage for the following threats is subject to updates, pending additional threat or vulnerability analysis. For the most current information, please refer to your Firepower Management Center, Snort.org, or ClamAV.net.

Read More

Reference:

TRU02142020  – This is a JSON file that includes the IOCs referenced in this post, as well as all hashes associated with the cluster. The list is limited to 25 hashes in this blog post. As always, please remember that all IOCs contained in this document are indicators, and that one single IOC does not indicate maliciousness. See the Read More link above for more details.

By Nick Biasini and Edmund Brumaghin.

• Coronavirus is dominating the news and threat actors are taking advantage.
• Cisco Talos has found multiple malware families being distributed with Coronavirus lures and themes. This includes emotet and several RAT variants.

Executive Summary

Using the news to try and increase clicks and drive traffic is nothing new for malicious actors. We commonly see actors leveraging current news stories or events to try and increase the likelihood of infection. The biggest news currently is focused on the new virus affecting the world, with a focus on China: the coronavirus. There are countless news articles and email-based marketing campaigns going at full throttle right now, as such, we wanted to take a deeper look at how this is manifesting itself on the threat landscape.

Our investigation had several phases, first looking at the email based campaigns then pivoting into open-source intelligence sources for additional samples. These investigations uncovered a series of campaigns from the adversaries behind Emotet, along with a series of other commodity malware families using these same topics as lures, and a couple of odd documents and applications along the way. What was also striking was the amount of legitimate emails containing things like Microsoft Word documents and Excel spreadsheets related to the coronavirus. This really underscores why using these as lures is so attractive to adversaries and why organizations and individuals need to be vigilant when opening mail attachments, regardless of its origins.

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