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Category: Malware , Unit With the spread of the coronavirus worldwide, interest is high in related topics. Accordingly, Unit 42 researchers found an immense increase in coronavirus-related Google searches and URLs viewed since the beginning of February. Cybercriminals are looking to profit from such trending topics, disregarding ethical concerns, and in this particular case preying on the misfortunes of billions.
To protect customers of Palo Alto Networks, Unit 42 researchers monitor user interest in trending topics and newly registered domain names related to these topics, as miscreants often leverage them for malicious campaigns. As of the end of March, we identified , coronavirus-related newly registered domain names. We analyzed these domains by clustering them based on their Whois information, DNS records and screenshots collected by our automated crawlers to detect registration campaigns.
We found that while many domains are registered to be resold for a profit, a significant fraction of them are used for both well-known malicious activities as well as for fraudulent shops selling items in short supply. The traditional malice abusing coronavirus trends includes domains hosting malware, phishing sites, fraudulent sites, malvertising, cryptomining, and black hat Search Engine Optimization SEO for improving search rankings of unethical websites.
Moreover, we discovered a group of coronavirus-themed domains, which now serve parked pages with high-risk JavaScript that may at any time start redirecting users to malicious content. In this blog, we first showcase the increasing trend of user interests in coronavirus-related topics on the Internet, with data from both Google Trends and our service traffic logs.
Second, we illustrate the significant increase in domain registration activities recently for domain names containing coronavirus-related keywords. Third, we present a detailed case study on how cybercriminals are abusing and monetizing such user interests on the Internet.
Finally, we conclude with a discussion of best practices. Using Google Trends and our traffic logs, we observed a steep increase in user interest of topics related to coronavirus.
In Figure 1, we can see how interested users are in coronavirus-related keywords based on Google Trends. In particular, we see three prominent peaks at the end of January, the end of February, and the middle of March The first peak aligns with the virus outbreak in China, the second peak signifies the first US case of unknown origin, and the third peak is at the same time as the virus outbreak in the US.
One interesting exception in Figure 1 is alcohol, as users have an interest in it all year round, with a peak at Christmas. Intuitively, the year round interest in alcohol is for drinking it, however the peaks aligned with coronavirus are for medical alcohol. Matching our observations about user interest from Google Trends, we see in Figure 2 a near ten-fold increase in the number of unique coronavirus-related URLs visited by our customers comparing early February to late March.
The increased user interest in coronavirus presents a lucrative opportunity for cybercriminals to profit from this pandemic. These domain names often host legitimate-looking content and are used for a wide variety of malicious activities, including tricking users into downloading malicious files, phishing, scams, malvertisement and cryptocurrency mining.
To combat criminals employing coronavirus-related domain names, we obtain keywords from trending topics. Then we manually select the keywords most relevant to coronavirus. Finally, using our set of keywords, we closely monitor newly registered coronavirus-related domain names. Unit 42 has been tracking newly registered domains NRDs for more than nine years and has previously published a comprehensive analysis of them. Our system detected , related NRDs during this period, with roughly 1, domains every day.
Figure 3 presents the daily trend of new domain name registrations detected during our study period. We found an increase in the number of coronavirus domains over time, and after March 12, we detected over 3, new domains every day. Apart from the general trend of growth, we also observed sudden increases in the number of domains registered.
These increases in registrations follow the peaks in user interest seen in Google Trends with a few days of delay. We classify NRDs into two categories. First, malicious NRDs include domains used for command and control C2 , malware distribution and phishing.
Second, high-risk NRDs contain scam pages, pages with insufficient content, coin miners, and domains associated with known malicious or bulletproof hosting. While in this blog, we separate our categorization into malicious and high-risk, URL Filtering service provides our customers a more fine-grained categorization of domain names as described in this document. During our analysis, we identified 2, malicious and 40, high-risk NRDs.
The malicious rate is 1. Among the malicious domains, Different from phishing and malware, we only found a couple of domains used for C2 communication. In Figure 3, we can observe that malicious registrations follow NRD trends, in some cases even exceeding them. Additionally, we find that even though these domains were recently registered, we have observed - in total - 2,, DNS queries caching excluded for these domains according to the Passive DNS data that we collect.
We notice a steep increase on March 16 in the number of benign and malicious NRDs queried. This increase correlates to our previous observation of user interest and domain registrations peaking a few days before due to the virus outbreak in the US. In Figure 5, we list the top 15 keywords which matched the most NRDs. In general, the specific terms are more favorable for registrants, and there are several registration campaigns for related supplies.
On the other hand, their malicious rate is similar to average keywords. Observing the increase in malicious and high-risk coronavirus NRDs, we analyzed these domains further to understand how cybercriminals utilize them. We employ the k-nearest neighbor algorithm using the last layer of the DenseNet model from the Keras library as features. Building on our clusters, we found several malicious or abusive registration campaigns, which we will discuss alongside with typical scenarios of malicious use cases.
The goal of phishing attacks is to trick users into sharing their credentials and personal information with the attackers. Figure 6. Domain corona-masr21[. While there are possible domain name variations in this range, only 20 were registered. The goal of attackers is to persuade users that they need to login on this fake webpage and that the bank owns it. Another phishing campaign was targeting Outlook accounts from the corona-virusus[.
In addition, we found that those domains serving phishing pages also host zipped files with their malicious source artifacts. This is a common practice by malicious campaigns to host and distribute packed versions of malicious payloads, which can be downloaded by a dropper on another compromised website. Users can check three main indicators, shown in Figure 7, to ensure they are not the victim of a phishing attack.
First, they need to make sure that the domain portion of the URL is the expected domain name owned by the service where they try to log in. Second, users need to make sure that there is a lock icon on the top-left side, signifying that they are connected via a valid HTTPS connection, therefore preventing man-in-the-middle MiTM attacks. Finally, users can verify if the domain name matches the owner of the certificate. One such domain, covidgov[.
Although the initial infection vector utilized to direct potential victims to the above site remains unclear, Unit 42 researchers identified a RedLine Stealer sample being hosted at the URL covidgov[. The domain tempuri[. According to established web service implementation best practices, this field should be updated to reflect an appropriate namespace so that a given web service can be uniquely distinguished and identified.
That said, this detail is occasionally overlooked by even legitimate web services, and thus tempuri[. Other interesting host-based behaviors of this RedLine Stealer variant include the execution of this command in a hidden command prompt window:.
Based on the contents of the command, it can be inferred that the intent of the malware author was to ensure that, when executed via cmd. However, there are two problems with this approach. The first is that the concept does not appear to be sound to begin with. The use of the choice command for this use-case will not produce the desired result. In addition to RedLine Stealer, we also detected other examples of malware delivery using coronavirus domains. Another such example, hosted at corona-map-data[.
We also identified several instances of coronavirus-themed malware intended to victimize mobile users. Specifically, we identified three malicious Android applications on the domain Corona-virusapps[.
We also identified two others at coronaviruscovidinformation[. While a full in-depth analysis of the Danabot sample and the various APKs is beyond the scope of this blog, we have included additional relevant details in the IOC section. While cybercriminals are mainly using coronavirus-related domains for malware, phishing, and scams, we also observe cases where they are involved in C2 communication. The domain covidpreventandcure[. From the network traffic shown in Figure 9, we see that the domain resolves to 5.
We started observing related DNS traffic two days later and it was active until April There was a significant increase of DNS traffic resolving this domain in April, indicating a possible spike in related compromises. We identified several high-risk domain registrations, where miscreants create fake webshops and try to scam users into buying short supply items. There are many indicators of fraudulent webshops that users can use as clues to avoid becoming victims.
For example, often these webshops advertise deals that are too good to be true in the current coronavirus pandemic, it means they offer high-demand items like face masks or hand sanitizers for a discounted price. If we additionally find that the webshop is new, then it is time to look for more clues. Additional example indicators include pressing users to purchase immediately or miss the deal, fake reviews, fake contact information, cut and pasted text on the webshops, grammatical errors, and keyword-stuffed pages.
Figure These sites advertise facemasks in high demand. The only differences between the two sites are the contact information used and the fake user testimonials.
When visiting these scam websites, our suspicion starts when they claim to have been operating since , as illustrated in Figure However, we find both domains are only one-month old, coinciding with the rise of the coronavirus pandemic. Next, we observe a mismatch in country and domain registration information. The domain names are registered in India, while one website has the address and phone number for France. The other site has an address in Germany, but the phone number is in the US.
We encounter favorable user reviews about the sole item sold on this site. We discovered that some of the reviews, presented in Figure 13, date back to November , while the domain was registered only in March Searching for the text of the newer reviews, we found that they were copied from other sites offering hand sanitizers, including an Amazon review.
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