An alarming development that underscores how financial cybercrime is evolving is a Windows-based banking trojan dubbed Coyote. It has been observed for the first time that a malware strain leveraging the Microsoft UI Automation (UIA) framework for stealthy extraction of sensitive user data has emerged. It was developed in 2024 by Kaspersky, and it is specifically targeted at Brazilian users. Through its advanced capabilities, Coyote can log keystrokes, record screenshots, and use deceptive overlays on banking login pages that are designed to fool users into providing their information to the malware.
A security researcher at Akamai has reported that in the latest variant, the legitimate Microsoft UIA component, which is designed to provide accessibility to desktop UI elements for those with disabilities, is exploited to retrieve credentials from websites linked to 75 financial institutions and cryptocurrency platforms via a phishing attack.
A novel abuse of an accessibility tool demonstrates that threat actors are becoming increasingly sophisticated in their attempts to circumvent traditional security measures and compromise digital financial ecosystems.
The Coyote virus first appeared in Latin American cybersecurity in February 2024 and has since been a persistent and damaging threat across the region.
Coyote, a banking trojan, was originally used to steal financial information from unsuspecting users by using traditional methods, such as keylogging and phishing overlays.
Despite being classified as a banking trojan, its distribution mechanism is based on the popular Squirrel installer, a feature which is also the inspiration for its name, a reference to the coyote-squirrel relationship, which is a predator-prey relationship.
It was not long ago that Coyote began targeting Brazilian businesses, with the intent of deploying an information-stealing Remote Access Trojan (RAT) in their networks in an effort to steal information.
After the malware was discovered, cybersecurity researchers began to discover critical insight into its behaviour as soon as it became apparent.
The Fortinet company released a comprehensive technical report in January 2025 that detailed Coyote's attack chain, including the methods used to propagate the attack and the techniques used to infiltrate the system. In the evolution of Coyote from conventional credential theft to sophisticated abuse of legitimate accessibility frameworks, one can see a common theme in modern malware development—a trend in which native system utilities are retooled to facilitate covert surveillance and data theft.
Through innovation and stealth, Coyote is proving to be an excellent example of how regionally focused threats can rapidly escalate into globally significant risks through the use of innovation and stealth. The Coyote malware has evolved significantly in its attack methodology since its previous appearance in 2015, which has prompted cybersecurity professionals to have new concerns.
Since December 2024, Akamai researchers have been following Coyote closely, and they have found out that earlier versions of the malware have mainly relied on keylogging and phishing overlays to steal login credentials from users of 75 targeted banking and cryptocurrency websites. However, users had to access financial applications outside of traditional web browsers in order for these methods to work, meaning that browser-based sessions largely remained safe.
In contrast, Coyote's newest version, which was released earlier this year, demonstrates a markedly higher level of sophistication. Using Microsoft's UI Automation framework (UIA), Coyote can now detect and analyse banking and crypto exchange websites that are open directly within browsers by utilising its Microsoft UI Automation framework. As a result of this enhancement, malware is now able to identify financial activity more accurately and extract sensitive information even from less vulnerable sessions, significantly increasing the scope and impact of the malware.
With stealth and precision, the Coyote malware activates on a victim's computer as soon as the program they are infected with—typically through the widely used Squirrel installer—is executed on their system. As soon as the malware has been installed, it runs silently in the background, gathering fundamental system details as well as continuously monitoring all active programs and windows. One of the primary objectives of this malware is to detect interactions with cryptocurrency platforms or banking services.
If Coyote detects such activity, it utilises the UI Automation framework (UIA) to programmatically read the content displayed on the screen, bypassing traditional input-based detection mechanisms. Furthermore, the malware is capable of extracting web addresses directly from browser tabs or the address bar, cross-referenced to a predefined list of financial institutions and crypto exchanges that are targeted. This further elevates the malware's threat profile.
Upon finding a match, the tool initiates a credential harvesting operation that is aimed at capturing credentials such as login information and wallet information. As of right now, Coyote appears to have a geographic focus on Brazilian users, targeting companies like Banco do Brasil, Santander, as well as global platforms like Binance, as well.
Although it is unlikely that this regional concentration will remain static for long, threat actors often launch malware campaigns in limited geographies for the purpose of testing them out before attempting to spread their campaign to a broader audience.
Among the latest versions of Coyote malware, there is an impressive combination of technical refinement and operational stealth that sets it apart from typical financial Trojans in terms of performance.
It is particularly noteworthy that it utilises Microsoft's UI Automation framework to look directly at application window content to be able to steal sensitive information without having to rely on visible URLs or browser titles.
There are no longer any traditional techniques for this variant that rely on keylogging or phishing overlays, but rather rely on UI-level reconnaissance that allows it to identify and engage with targeted Brazilian cryptocurrency and banking platforms with remarkable subtlety. Further increasing its evasiveness is its ability to operate offline.
By doing so, it can gather and scan data without requiring a connection to the command-and-control (C2) server.
In order to initiate an attack sequence, the malware first profiles the infected system, obtaining information such as the name of the device, the operating system version, and the credentials of the user. As a result, Coyote scans the titles of active windows in an attempt to find financial platforms that are well-known.
If no direct match is found, Coyote escalates its efforts by parsing the visual user interface elements via the UIA interface, resulting in critical data such as URLs and tab labels that are crucial for the application.
As soon as the application detects a target, it uses an array of credential harvesting techniques, which include token interception and direct access to usernames and passwords.
Although the current campaign remains focused in Brazil, the fact that Coyote can operate undetected at the user interface layer and that it uses native Windows APIs poses a serious and scalable threat to businesses across the globe.
Considering its offline functionality, small network footprint, and ability to evade standard security solutions, it is a potent reminder that legitimate system tools can be repurposed to quietly undermine digital defences complex cybersecurity landscape that is getting ever more complex.
Cybersecurity is rapidly evolving, and it is becoming increasingly apparent to us that the dynamic between threat actors and defenders has become more of a high-stakes game, where innovation can change the balance quite rapidly between the two sides.
A case study such as the Coyote malware underscores the fact that even system components which appear harmless, such as Microsoft's UI Automation (UIA) framework, can be exploited to achieve malicious objectives.
Although UIA was created to enhance accessibility and usability, the abuse of the tool by advanced malware proves the inherent risks associated with native tools that are trusted.
The objective of security researchers is to give defenders a better understanding of the inner workings and methods employed by Coyote, so they can detect, mitigate, and respond more effectively to such stealthy intrusions.
It is important to note that the exploitation of UIA as an attack vector is not simply a tactic that is used for a single attack-it signals a shift in adversarial strategy that emphasises invisibility and manipulation of systems. Organisations must strengthen their security posture by observing how legitimate technologies may be repurposed as a means to commit cybercrime, as well as staying vigilant against threats that blur the line between utility and vulnerability.
There is no question that the advent of Coyote malware marked a turning point in the evolution of cyber threats. It underscores the growing abuse of legitimate system tools for malicious purposes as well.
Using Microsoft's UI Automation framework (UIA), an accessibility feature which was created to support users with disabilities, Coyote illustrates to us that trusted functionality could be repurposed to steal information from systems by silently infiltrating them.
The malware operations of this company, which are currently focused on Brazilian financial institutions and crypto exchanges, represent the emerging trend toward stealth-driven malware campaigns that target specific regions of the globe.
A call to action has been issued to defenders by this evolution, as traditional security tools that are based on network-based detection or signature matching may not be up to the task of combating threats that operate entirely within the user interface layer and do not require the use of command-and-control communications.
Consequently, organisations have to develop more nuanced strategies to keep their data secure, such as behavioural monitoring, heuristic analysis, and visibility of native API usage.
As a further precaution, maintaining strict controls over software distribution methods, such as Squirrel installers, is also a great way to prevent the spread of early-stage infections. By adopting a silent, system-native approach, Coyote reflects a change in the cyber threat landscape, shifting away from overt, disruptive attacks to covert, credential-stealing surveillance.
Coyote utilizes low-noise approaches to achieve maximum data exfiltration, often as part of long-term campaigns, in order to evade detection, resulting in maximum data exfiltration. This demonstrates the sophistication of modern malware and the urgent need for adaptive cybersecurity frameworks to cope with these threats.
In addition to exploiting UIA, it is also likely that it will result in more widespread abuse of accessibility features that have traditionally been overlooked in security planning, and which may eventually become a major security concern.
As threat actors continue to refine their approaches, companies need to be vigilant, rethink what constitutes potential attack surfaces, and take measures to detect threats as soon as possible.
Coyote is an example of malware that requires a combination of stronger tools, as well as a deeper understanding of the way even helpful technology can be turned into a security liability quickly if it is misused.
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