Wednesday, March 26, 2025

New Android Malware Campaigns Evading Detection Utilizing Cross-Platform Framework .NET MAUI 

Authored by Dexter Shin 

Abstract 

Cybercriminals are continually evolving their methods to bypass safety measures. Not too long ago, the McAfee Cellular Analysis Crew found malware campaigns abusing .NET MAUI, a cross-platform growth framework, to evade detection. These threats disguise themselves as reputable apps, focusing on customers to steal delicate data. This weblog highlights how these malware function, their evasion methods, and key suggestions for staying protected. 

Background 

Lately, cross-platform cellular growth frameworks have grown in reputation. Many builders use instruments like Flutter and React Native to construct apps that work on each Android and iOS. Amongst these instruments, Microsoft supplies a framework based mostly on C#, referred to as Xamarin. Since Xamarin is well-known, cybercriminals generally use it to develop malware. We have now beforehand discovered malware associated to this framework. Nonetheless, Microsoft ended assist for Xamarin in Might 2024 and launched .NET MAUI as its substitute.

In contrast to Xamarin, .NET MAUI expands platform assist past cellular to incorporate Home windows and macOS. It additionally runs on .NET 6+, changing the older .NET Normal, and introduces efficiency optimizations with a light-weight handler-based structure as an alternative of customized renderers.

As expertise evolves, cybercriminals adapt as properly. Reflecting this development, we lately found new Android malware campaigns developed utilizing .NET MAUI. These Apps have their core functionalities written totally in C# and saved as blob binaries. Which means that not like conventional Android apps, their functionalities don’t exist in DEX recordsdata or native libraries. Nonetheless, many antivirus options deal with analyzing these parts to detect malicious habits. In consequence, .NET MAUI can act as a sort of packer, permitting malware to evade detection and stay energetic on gadgets for a very long time.

Within the following sections, we’ll introduce two Android malware campaigns that use .NET MAUI to evade detection. These threats disguise themselves as reputable companies to steal delicate data from customers. We’ll discover how they function and why they pose a big danger to cellular safety.

Am I protected? 

McAfee Cellular Safety already detects all of those apps as Android/FakeApp and protects customers from these threats. For extra details about our Cellular Product, go to McAfee Cellular Safety. 

Technical Findings  

Whereas we discovered a number of variations of those malicious apps, the next two examples are used to show how they evade detection. 

First off, the place are customers discovering these malicious apps? Usually, these apps are distributed by unofficial app shops. Customers are sometimes directed to such shops by clicking on phishing hyperlinks made accessible by untrusted sources on messaging teams or textual content messages. For this reason we suggest at McAfee that customers keep away from clicking on untrusted hyperlinks. 

Instance 1: Faux Financial institution App 

The first pretend app we discovered disguises itself as IndusInd Financial institution, particularly focusing on Indian customers. When a consumer launches the app, it prompts them to enter private and monetary particulars, together with their identify, cellphone quantity, e mail, date of delivery, and banking data. As soon as the consumer submits this information, it’s instantly despatched to the attacker’s C2 (Command and Management) server. 

 

Determine 1. Faux IndusInd Financial institution app’s display requesting consumer data

As talked about earlier, this isn’t a standard Android malware. In contrast to typical malicious apps, there are not any apparent traces of dangerous code in the Java or native code. As an alternative, the malicious code is hidden inside blob recordsdata positioned contained in the assemblies listing. 

 

Determine 2. Blob comprises malicious code 

 The next code snippet reveals how the app collects and transmits consumer information to the C2 server. Based mostly on the code, the app constructions the required data as parameters earlier than sending it to the C2 server. 

Determine 3. C# code chargeable for stealing consumer information and sending it to the C2 server   

Instance 2: Faux SNS App  

In distinction to the first pretend app, this second malware is much more troublesome for safety to investigate. It particularly targets Chinese language-speaking customers and makes an attempt to steal contacts, SMS messages, and pictures from their gadgets. In China, the place entry to the Google Play Retailer is restricted, such apps are sometimes distributed by third-party web sites or various app shops. This permits attackers to unfold their malware extra simply, particularly in areas with restricted entry to official app shops. 

Determine 4. Distribution web site and pretend X app focusing on Chinese language-speaking customers 

One of many key methods this malware makes use of to stay undetected is multi-stage dynamic loading. As an alternative of instantly embedding its malicious payload in an simply accessible format, it encrypts and hundreds its DEX recordsdata in three separate phases, making evaluation considerably tougher. 

Within the first stage, the app’s important exercise, outlined in AndroidManifest.xml, decrypts an XOR-encrypted file and hundreds it dynamically. This preliminary file acts as a loader for the subsequent stage. Within the second stage, the dynamically loaded file decrypts one other AES-encrypted file and hundreds it. This second stage nonetheless doesn’t reveal the core malicious habits however serves as one other layer of obfuscation. Lastly, within the third stage, the decrypted file comprises code associated to the .NET MAUI framework, which is then loaded to execute the primary payload. 

Determine 5. Multi-stage dynamic loading 

The primary payload is in the end hidden throughout the C# code. When the consumer interacts with the app, akin to urgent a button, the malware silently steals their information and sends it to the C2 server. 


Determine 6. C# code chargeable for stealing pictures, contacts, and SMS information 

Past multi-stage dynamic loading, this malware additionally employs further methods to make evaluation tougher. One approach is manipulating the AndroidManifest.xml file by including an extreme variety of pointless permissions. These permissions embody massive quantities of meaningless, randomly generated strings, which might trigger errors in sure evaluation instruments. This tactic helps the malware evade detection by disrupting automated scanners and static evaluation. 

 

Determine 7. AndroidManifest.xml file with extreme random permissions 

One other key approach is encrypted socket communication. As an alternative of utilizing customary HTTP requests, that are simpler to intercept, the malware depends on TCP socket connections to transmit information. This method makes it troublesome for conventional HTTP proxy instruments to seize community site visitors. Moreover, the malware encrypts the information earlier than sending it, which means that even when the packets are intercepted, their contents stay unreadable. 

Another vital facet to notice is that this malware adopts varied themes to draw customers. Along with the pretend X app, we additionally found a number of relationship apps that use the identical methods. These apps had completely different background pictures however shared the identical construction and performance, indicating that they had been possible created by the identical developer because the pretend X app. The continual emergence of comparable apps means that this malware is being broadly distributed amongst Chinese language-speaking customers. 

 

Determine 8. Numerous pretend apps utilizing the identical approach 

 

Suggestions and Conclusion 

The rise of .NET MAUI-based malware highlights how cybercriminals are evolving their methods to keep away from detection. A number of the methods described embody:  

  • hiding code blobs inside assemblies 
  • multi-stage dynamic loading 
  • encrypted communications 

With these evasion methods, the threats can stay hidden for lengthy intervals, making evaluation and detection considerably more difficult. Moreover, the invention of a number of variants utilizing the identical core methods means that any such malware is turning into more and more frequent.  

Customers ought to at all times be cautious when downloading and putting in apps from unofficial sources, as these platforms are sometimes exploited by attackers to distribute malware. That is particularly regarding in international locations like China, the place entry to official app shops is restricted, making customers extra susceptible to such threats. 

To maintain up with the speedy evolution of cybercriminal techniques, customers are strongly suggested to put in safety software program on their gadgets and hold it updated always. Staying vigilant and guaranteeing that safety measures are in place can assist defend towards rising threats. By utilizing McAfee Cellular Safety, customers can improve their machine safety and detect threats associated to any such malware in real-time. 

 

Glossary of Phrases 

 

Indicators of Compromise (IOCs) 

APKs: 

 

C2: 

  • tcp[://]120.27.233.135:1833 
  • https[://]onlinedeskapi.com 

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