Earlier this month, a new variant of the Guildma information stealer was analyzed by the Internet Storm Center (ISC). The malware’s new campaign has been seen targeting various countries in South America, with the highest number of infections recorded in Brazil. It seems that Guildma is spreading quickly, with another recent campaign reaching over 150,000 infection attempts in a matter of weeks.Read More
What was originally designed to be a banking Trojan has now become a versatile malicious code used to deploy a massive botnet, and is considered one of the most dangerous active malware families today.
In an alert published by the U.S. Department of Homeland Security last year, Emotet was described as “among the most costly and destructive malware affecting state, local, tribal, and territorial (SLTT)." Emotet was extremely active in the first half of 2019, until a recent two-month period when the malware family went under the radar (rumor has it that the sudden disappearance was to allow for maintenance and upgrades). Last week, the malware re-emerged with renewed activity spotted by Cofense researchers.Read More
Making connections and finding new indicators is an important part of IOC analysis, and is probably the most enjoyable part as well. Blog posts and reports on new threats will usually mention the indicators seen to be used by the specific malware sample or attack vector analyzed, yet in many cases there is a larger malicious infrastructure behind them just waiting to be uncovered (and blocked!). Sometimes, a whole other malicious infrastructure can be revealed by examining IOCs related to malicious IPs and domains. There are a variety of tools out there that can help analysts investigate indicators of compromise and their infrastructure, and perform enrichment to shed light on related, malicious IOCs.
In this post, we will review some of our Security Research Team’s favorite connection and enrichment platforms.
As mentioned in our previous post on IOC Collection and Sharing, analyzable indicators can be found on a variety of platforms and channels, each with its own level of reliability and information detail. Once an analyst has deemed the collected IOCs suspicious, they can review its background and infrastructure information, such as ASN and passive DNS for IPs, and Whois, resolving IPs, and popularity score for domains. In addition, the analyst can also check if leading security vendors have already deemed the IOC malicious by choosing from a wide array of open-source blacklists. At the end of this process, the analyst will have the information and knowledge required to decide if the inbound and/or outbound traffic to the indicator should be blocked.
In this post we will review free, open-source tools that analysts can use to collect technical and reputation information on IOCs, with a focus on IPs and domains.Read More
The first step in IOC analysis is obtaining the indicators to analyze. Some analysts will opt to stick with one source, and analyze whichever IOCs come their way, while others may search various sources for a specific threat type such as Ransomware, or threat such as Lokibot. Threat exchanges are open and free community platforms for information sharing and collaboration, and are an excellent source for IOCs. Another source for IOC collection which may come off as less intuitive is social media, with Twitter being the best SM platform to find new, relevant IOCs.
In this post, we will describe our Top 5 Free IOC Sources for Analysis.
Welcome To Our New Weekly Series, Free Open Source Analysis Tools.
This Week's Topic: Free Open-Source Analysis Tools, Why Use IOCs?
Throughout this series, we'll be talking about a Security Analyst’s IOC analysis journey. From discovering relevant indicators and performing the analysis, to finding enrichments and new IOCs. We will also share recommendations for free open-source analysis tools and use cases completed by ThreatSTOP's Security and Research Team, showing how to utilize the various platforms and tools. Let's get started.Read More
Riltok is a mobile banking Trojan that uses mobile phishing pages to steal credit card information from its victims. Discovered in 2018, Riltok started out solely attacking Russian targets, yet it quickly began attacking victims in other European countries as well. The Trojan is spread via malicious SMS messages, which contain links that direct the victims to a fake website posing as a popular free ad service.
Once on the website, victims are prompted to click and download the Trojan, disguised as the ad service’s mobile app. If downloaded, Riltok connects to its C&C server to exfiltrate device data, and opens a fake Google Play screen or phishing page in a browser, requesting the victim’s bank card details.Read More
A few months ago, JasperLoader (a new malware loader) emerged, infecting systems with various malware payloads, such as the Gootkit Banking Trojan. After a short, initial campaign, the threat actors behind the malware halted their activity and JasperLoader went off the radar for a while. However, since late May, a new and upgraded version of JasperLoader has been spotted infecting machines across Europe.Read More
LokiBot is a banking Trojan, crypto-miner and info-stealer, with versions running on both Windows and Android operating systems. The malware can also transform in to ransomware on mobile devices, if victims try to remove it from the device.Read More