VajraSpy: A Patchwork of espionage apps

ESET researchers have identified twelve Android espionage apps that share the same malicious code: six were available on Google Play, and six were found on VirusTotal. All the observed applications were advertised as messaging tools apart from one that posed as a news app. In the background, these apps covertly execute remote access trojan (RAT) code called VajraSpy, used for targeted espionage by the Patchwork APT group.

VajraSpy has a range of espionage functionalities that can be expanded based on the permissions granted to the app bundled with its code. It steals contacts, files, call logs, and SMS messages, but some of its implementations can even extract WhatsApp and Signal messages, record phone calls, and take pictures with the camera.

According to our research, this Patchwork APT campaign targeted users mostly in Pakistan.

Key points of the report:

• We discovered a new cyberespionage campaign that, with a high level of confidence, we attribute to the Patchwork APT group.
• The campaign leveraged Google Play to distribute six malicious apps bundled with VajraSpy RAT code; six more were distributed in the wild.
• The apps on Google Play reached over 1,400 installs and are still available on alternative app stores.
• Poor operational security around one of the apps allowed us to geolocate 148 compromised devices.

Overview

In January 2023, we detected a trojanized news app called Rafaqat رفاقت (the Urdu word translates to Fellowship) being used to steal user information. Further research uncovered several more applications with the same malicious code as Rafaqat رفاقت. Some of these apps shared the same developer certificate and user interface. In total, we analyzed 12 trojanized apps, six of which (including Rafaqat رفاقت) had been available on Google Play, and six of which were found in the wild. The six malicious apps that had been available on Google Play were downloaded more than 1,400 times altogether.

Based on our investigation, the threat actors behind the trojanized apps probably used a honey-trap romance scam to lure their victims into installing the malware.

Note: This research covers specific apps and package names that have since been removed from the Google Play store. Any similarly or identically named apps, such as MeetMe, that are still available on Google Play are purely coincidental and have not been affected.

All the apps that were at some point available on Google Play had been uploaded there between April 2021 and March 2023. The first of the apps to appear was Privee Talk, uploaded on April 1^st, 2021, reaching around 15 installs. Then, in October 2022, it was followed by MeetMe, Let’s Chat, Quick Chat, and Rafaqat رفاق, installed altogether over 1,000 times. The last app available on Google Play was Chit Chat, which appeared in March 2023 and reached more than 100 installs.

The apps share several commonalities: most are messaging applications, and all are bundled with the VajraSpy RAT code. MeetMe and Chit Chat use an identical user login interface; see Figure 1. Furthermore, the Hello Chat (not available on Google Play store) and Chit Chat apps were signed by the same unique developer certificate (SHA-1 fingerprint: 881541A1104AEDC7CEE504723BD5F63E15DB6420), which means the same developer created them.

Apart from the apps that used to be available on Google Play, six more messaging applications were uploaded to VirusTotal. Chronologically, YohooTalk was the first to appear there, in February 2022. The TikTalk app appeared on VirusTotal late in April 2022; almost immediately afterward, MalwareHunterTeam on X (formerly Twitter) shared it with the domain where it was available for download (fich[.]buzz). Hello Chat was uploaded in April 2023. Nidus and GlowChat were uploaded there in July 2023, and lastly, Wave Chat in September 2023. These six trojanized apps contain the same malicious code as those found on Google Play.

Figure 2 shows the dates when each application became available, either on Google Play or as a sample on VirusTotal.

ESET is a member of the App Defense Alliance and an active partner in the malware mitigation program, which aims to quickly find Potentially Harmful Applications (PHAs) and stop them before they ever make it onto Google Play.

As a Google App Defense Alliance partner, ESET identified Rafaqat رفاقت as malicious and promptly shared these findings with Google. At that point in time, Rafaqat رفاقت had already been removed from the storefront. Other apps, at the time of sharing sample with us, were scanned and not flagged as malicious. All the apps identified in the report that were on Google Play are no longer on available on the Play store.

Victimology

While ESET telemetry data registered detections from Malaysia only, we believe those were only incidental and did not constitute the actual targets of the campaign. During our investigation, weak operational security of one of the apps led to some victim data being exposed, which allowed us to geolocate 148 compromised devices in Pakistan and India. These were likely the actual targets of the attacks.

Another clue pointing toward Pakistan is the name of the developer used for the Google Play listing of the Rafaqat رفاقت app. The threat actors used the name Mohammad Rizwan, which is also the name of one of the most popular cricket players from Pakistan. Rafaqat رفاقت and several more of these trojanized apps also had the Pakistani country calling code selected by default on their login screen. According to Google Translate, رفاقت means “fellowship” in Urdu. Urdu is one of national languages in Pakistan.

We believe the victims were approached via a honey-trap romance scam where the campaign operators feigned romantic and/or sexual interest in their targets on another platform, and then convinced them to download these trojanized apps.

Attribution to Patchwork

The malicious code executed by the apps was first discovered in March 2022 by QiAnXin. They named it VajraSpy and attributed it to APT-Q-43. This APT group targets mostly diplomatic and government entities.

In March 2023, Meta published its first quarter adversarial threat report that contains their take down operation and tactics, techniques and procedures (TTPs) of various APT groups. The report includes take down operation conducted by Patchwork APT group that consists of fake social media accounts, Android malware hashes, and distribution vector. The Threat indicators section of that report includes samples that were analyzed and reported by QiAnXin with the same distribution domains.

In November 2023, Qihoo 360 independently published an article matching malicious apps described by Meta and this report, attributing them to VajraSpy malware operated by Fire Demon Snake (APT-C-52), a new APT group.

Our analysis of these apps revealed that they all share the same malicious code and belong to the same malware family, VajraSpy.  Meta’s report includes more comprehensive information, which might give Meta better visibility on the campaigns and also more data to identify the APT group. Because of that, we attributed VajraSpy to the Patchwork APT group.

Technical analysis

VajraSpy is a customizable trojan usually disguised as a messaging application, used to exfiltrate user data. We noticed that the malware has been using the same class names across all its observed instances, be they the samples found by ESET or by other researchers.

To illustrate, Figure 3 shows a comparison of malicious classes of variants of VajraSpy malware. The screenshot on the left is a list of malicious classes found in Click App discovered by Meta, the one in the middle lists the malicious classes in MeetMe (discovered by ESET), and the screenshot on the right shows the malicious classes in WaveChat, a malicious app found in the wild. All the apps share the same worker classes responsible for data exfiltration.

Figure 4 and Figure 5 show the code responsible for exfiltrating notifications from the Crazy Talk app mentioned in Meta’s report, and the Nidus app, respectively.

The extent of VajraSpy’s malicious functionalities varies based on the permissions granted to the trojanized application.

For easier analysis, we have split the trojanized apps into three groups.

Group One: trojanized messaging applications with basic functionalities

The first group comprises all the trojanized messaging applications that used to be available on Google Play, i.e., MeetMe, Privee Talk, Let’s Chat, Quick Chat, GlowChat, and Chit Chat. It also includes Hello Chat, which wasn’t available on Google Play.

All the applications in this group provide standard messaging functionality, but first, they require the user to create an account. Creating an account depends on phone number verification via a one-time SMS code – if the phone number cannot be verified, the account will not be created. However, whether the account is created or not is mostly irrelevant to the malware, as VajraSpy runs regardless. The one possible utility of having the victim verify the phone number could be for the threat actors to learn their victim’s country code, but this is just speculation on our part.

These apps share the same malicious functionality, being capable of exfiltrating the following:

• contacts,
• SMS messages,
• call logs,
• device location,
• a list of installed apps, and
• files with specific extensions (.pdf, .doc, .docx, .txt, .ppt, .pptx, .xls, .xlsx, .jpg, .jpeg, .png, .mp3, .Om4a, .aac, and .opus).

Some of the apps can exploit their permissions to access notifications. If such permission is granted, VajraSpy can intercept received messages from any messaging application, including SMS messages.

Figure 6 shows a list of file extensions that VajraSpy is capable of exfiltrating from a device.

The operators behind the attacks used Firebase Hosting, a web content hosting service, for the C&C server. Apart from serving as the C&C, the server was also used to store the victims’ account information and exchanged messages. We reported the server to Google, since they provide Firebase.

Group Two: trojanized messaging applications with advanced functionalities

Group two consists of TikTalk, Nidus, YohooTalk, and Wave Chat, as well as the instances of VajraSpy malware described in other research pieces, such as Crazy Talk (covered by Meta and QiAnXin).

As with those in Group One, these apps ask the potential victim to create an account and verify their phone number using a one-time SMS code. The account won’t be created if the phone number is not verified, but VajraSpy will run anyway.

The apps in this group possess expanded capabilities compared to those in Group One. In addition to the first group’s functionalities, these apps are able to exploit built-in accessibility options to intercept WhatsApp, WhatsApp Business, and Signal communication. VajraSpy logs any visible communication from these apps in the console and in the local database, and subsequently uploads it to the Firebase-hosted C&C server. To illustrate, Figure 7 depicts the malware logging WhatsApp communication in real time.

Additionally, their extended capabilities allow them to spy on chat communications and intercept notifications. All in all, the Group Two apps are capable of exfiltrating the following in addition to those that can be exfiltrated by Group One apps:

• received notifications, and
• exchanged messages in WhatsApp, WhatsApp Business, and Signal.

One of the apps in this group, Wave Chat, has even more malicious capabilities on top of those we have already covered. It also behaves differently upon initial launch, asking the user to allow accessibility services. Once allowed, these services automatically enable all the necessary permissions on the user’s behalf, expanding the scope of VajraSpy’s access to the device. In addition to the previously mentioned malicious functionality, Wave Chat can also:

• record phone calls,
• record calls from WhatsApp, WhatsApp Business, Signal, and Telegram,
• log keystrokes,
• take pictures using the camera,
• record surrounding audio, and
• scan for Wi-Fi networks.

Wave Chat can receive a C&C command to take a picture using the camera, and another command to record audio, either for 60 seconds (by default) or for the amount of time specified in the server response. The captured data is then exfiltrated to the C&C via POST requests.

To receive commands and store user messages, SMS messages, and the contact list, Wave Chat uses a Firebase server. For other exfiltrated data, it uses a different C&C server and a client based on an open-source project called Retrofit. Retrofit is an Android REST client in Java that makes it easy to retrieve and upload data via a REST-based web service. VajraSpy uses it to upload user data unencrypted to the C&C server via HTTP.

Group Three: non-messaging applications

So far, the only application that belongs to this group is the one that kicked off this research in the first place – Rafaqat رفاقت. It is the only VajraSpy application that is not used for messaging, and is ostensibly used to deliver the latest news. Since news apps don’t need to request intrusive permissions such as access to SMS messages or call logs, the malicious capabilities of Rafaqat رفاقت are limited when compared to the other analyzed applications.

Rafaqat رفاقت was uploaded to Google Play on October 26^th, 2022 by a developer going by the name Mohammad Rizwan, which is also the name of one of the most popular Pakistani cricket players. The application reached over a thousand installs before being removed from the Google Play store.

Interestingly, the same developer submitted two more apps with an identical name and malicious code for upload to Google Play some weeks before Rafaqat رفاقت appeared. However, these two apps were not published on Google Play.

The app’s login interface with the Pakistan country code preselected can be seen in Figure 8.

While the app requires a login using a phone number upon launch, no number verification is implemented, meaning that the user can employ any phone number to log in.

Rafaqat رفاقت can intercept notifications and exfiltrate the following:

• contacts, and
• files with specific extensions (.pdf, .doc, .docx, .txt, .ppt, .pptx, .xls, .xlsx, .jpg, .jpeg, .png, .mp3, .Om4a, .aac, and .opus).

Figure 9 shows the exfiltration of a received SMS message using the permission to access notifications.

Conclusion

ESET Research has discovered an espionage campaign using apps bundled with VajraSpy malware conducted, with a high level of confidence, by the Patchwork APT group. Some apps were distributed via Google Play and also found, along with others, in the wild. Based on the available numbers, the malicious apps that used to be available on Google Play were downloaded more than 1,400 times. A security flaw in one of the apps further revealed 148 compromised devices.

Based on several indicators, the campaign targeted mostly Pakistani users: Rafaqat رفاقت, one of the malicious apps, used the name of a popular Pakistani cricket player as the developer name on Google Play; the apps that requested a phone number upon account creation have the Pakistan country code selected by default; and many of the compromised devices discovered through the security flaw were located in Pakistan.

To entice their victims, the threat actors likely used targeted honey-trap romance scams, initially contacting the victims on another platform and then convincing them to switch to a trojanized chat application. This was also reported in the Qihoo 360 research, where threat actors started initial communication with victims via Facebook Messenger and WhatsApp, then moved to a trojanized chat application.

Cybercriminals wield social engineering as a powerful weapon. We strongly recommend against clicking any links to download an application that are sent in a chat conversation. It can be hard to stay immune to spurious romantic advances, but it pays off to always be vigilant.

For any inquiries about our research published on WeLiveSecurity, please contact us at threatintel@eset.com.
ESET Research offers private APT intelligence reports and data feeds. For any inquiries about this service, visit the ESET Threat Intelligence page.

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MITRE ATT&CK techniques

This table was built using version 14 of the MITRE ATT&CK framework.

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