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  • The invisible passenger in your car Dmitry Kalinin
    While monitoring Android threats in June 2026, we discovered a new piece of Android malware. What struck us as unusual was that it installed like an ordinary user app yet made no attempt to disguise itself as legitimate software: it had no user interface at all. This led us to suspect the app might be reaching users’ devices without their knowledge. Further investigation confirmed that hypothesis and allowed us to reconstruct the entire infection chain. Key findings: We identified new Android m
     

The invisible passenger in your car

21 de Agosto de 2026, 05:00

While monitoring Android threats in June 2026, we discovered a new piece of Android malware. What struck us as unusual was that it installed like an ordinary user app yet made no attempt to disguise itself as legitimate software: it had no user interface at all. This led us to suspect the app might be reaching users’ devices without their knowledge. Further investigation confirmed that hypothesis and allowed us to reconstruct the entire infection chain.

Key findings:

  • We identified new Android malware: a multi-stage downloader whose ultimate purpose is ad fraud and creation of a proxy botnet.
  • The malware spread through the built-in updaters of Android-based automotive head unit firmware. This is the first documented case of malware found on a car head unit with an infection chain specific to that type of device.
  • We attribute this activity, with high confidence, to the MoYu Group, an actor linked to the BADBOX botnet.

Kaspersky solutions detect the threats described below under the following detection names:

  • HEUR:Trojan-Dropper.AndroidOS.Agent.vu
  • HEUR:Trojan-Downloader.AndroidOS.Agent.ov
  • HEUR:Trojan-Proxy.AndroidOS.Zhima.*
  • HEUR:Trojan.AndroidOS.Vo1d.*

Head unit firmware overview

A head unit is a system that combines multimedia functions with partial control over certain vehicle functions. Head units may come as part of a car’s factory equipment or as an aftermarket upgrade. The main attack vectors for these systems are compromise via physical access and vulnerabilities in the head unit’s OS or components, both of which we’ve covered previously.

In some cases, head units run on Android, primarily because it’s convenient for manufacturers: Android’s source code already accounts for use cases within automotive head units. Android also allows manufacturers to add their own system applications during the build process, which they can use for a range of purposes: customizing the UI, adding system components tailored to the vendor’s needs, and more.

Most apps developed for Android devices can also run on an Android-based head unit, and that is true for malware as well. That said, it’s hard to imagine certain categories of smartphone-targeted malware being used to attack a head unit. Banking Trojans are a good example: since mobile banking is used almost exclusively on smartphones, infecting a head unit with a banking Trojan would be a waste of the attacker’s resources.

It’s worth noting that head units often include SIM card slots and can connect to the internet, enabling features like navigation and software updates. Since a head unit typically holds nothing of value to an attacker, one of the more likely attack scenarios using “classic” Android malware is infecting the device to recruit it into a botnet – similar to attacks on IoT devices.

During our research, we found exactly that kind of malware. The design of firmware for DoFun head units enabled attackers to distribute malware. We notified the vendor about the distribution scheme, and they subsequently reported fixing the security issues.

Below is the entire infection chain:

Head unit infection scheme

Head unit infection scheme

Let’s look at exactly how these head units became infected.

The TWCore app

TWCore is a legitimate system application responsible for collecting analytics data and updating the head unit software. Let’s take a closer look at how the update function works.

The process is fairly simple. An MQTT message broker hosted on the subdomain cardoor[.]cn sends a message containing information about the APK files that need to be downloaded and installed on the head unit. Notably, the object describing this message includes an installNotExists field, a Boolean flag that can be set to true or false. This flag allows TWCore to install apps that weren’t originally present on the device.

TWCore only checks whether an app is already installed on the device when installNotExists = false

TWCore only checks whether an app is already installed on the device when installNotExists = false

The APK file is downloaded to <TWCore external cache dir>/push/apk/ for installation.

The path TWCore uses to download APK files

The path TWCore uses to download APK files

Our telemetry revealed previously unknown malware at these file paths. On top of that, our data indicates that in every observed case, the malware was installed by an app with the package name com.tw.core, which matches the TWCore package name.

Next, we’ll break down the malware installed by TWCore: the JarService dropper.

Stage 1: the JarService dropper

As mentioned earlier, JarService is a small dropper app with no UI of any kind. It decrypts data stored as encrypted blocks within the Trojan’s code. Each block is XOR-encrypted with a single-byte key that shifts linearly from block to block. The decrypted data contains serialized information about the payload version and entry point, along with the malware’s own code for further loading.

Decrypting and deserializing information about the stage 2 payload

Decrypting and deserializing information about the stage 2 payload

In the version of JarService we analyzed, the entry point for the next-stage payload was the wa method of the com.c.j.qbh class.

Stage 2: the loader

This stage’s payload is a malicious loader. Its code contains encrypted strings that are later used as class names to execute the stage 3 payload using the reflection mechanism. The loader sends implant information to one of the attackers’ servers via a POST request. Example of a request to the C2 server:

{
    "userId": "REDACTED",
    "dexVersion": "1.7",
    "dexType": 1,
    "channelId": "2039",
    "packageName": "com.tw.jar1",
    "appVersion": 12,
    "appName": "JarService"
}

In response to the POST request, the C2 server returns a link for downloading the stage 3 payload. An example of a C2 response is shown below.

{
    "code": 200,
    "data": {
        "dexUrl": "hxxp://144.217.243[.]201/vr34der34/dex3.68.png",
        "dexVersion": 3.680,
        "status": 0
    }
}

The Trojan uses the link in the dexUrl field of the data object to download serialized data for loading the next stage. This data begins with a single-byte integer, a key used to decrypt the strings in the loader’s code. Immediately following this number is a four-byte floating-point value used to XOR-decrypt the stage 3 payload, which itself is located after these keys.

Decrypting the stage 3 payload

Decrypting the stage 3 payload

In the decrypted payload, the entry point is the init method of the com.ast.sdk.BillingMain class, shown in the screenshot below.

Entry point of the stage 3 payload

Entry point of the stage 3 payload

While analyzing this stage, we noticed that the download link for the next-stage payload includes a version number. We decided to try other version numbers to retrieve different payload versions, and ultimately obtained seven distinct variants, which we list under “Indicators of Compromise” at the end of this report. The earliest version, numbered 3.57, uses a different decoding algorithm than the one described above. This may indicate that an earlier version of the infection chain used a different loader between JarService and the stage 3 payload.

Stage 3: clicker / reverse proxy loader

In this stage, the malware sends a POST request to /cpc/api/task every 90 minutes by default, containing information about the infected device (display resolution, device model, the SSID of the connected Wi-Fi network, MAC address, and so on) along with the Trojan’s configuration version. If the configuration is outdated, the C2 server returns an updated configuration containing new C2 addresses and new paths for sending HTTP requests. An example of a response is shown below. Note that at the time of our research, the most up-to-date configuration version was 3.82.

{
    "code": 100,
    "data": {
        "configVersion": 3.820,
        "hosts": ["hxxp://t2.kshahnd[.]sbs", "hxxp://t2.mdsjhd[.]sbs", "hxxp://t2.nmnsny[.]sbs", "hxxps://t2.nmnsny[.]sbs"],
        "interval": 5500000,
        "reportApi": "/cpc/api/report",
        "tagName": "config",
        "taskApi": "/cpc/api/task",
        "updates": ["hxxp://a2.kshahnd[.]sbs", "hxxp://a2.mdsjhd[.]sbs", "hxxp://a2.nmnsny[.]sbs", "hxxps://a2.nmnsny[.]sbs"],
        "vn": 1.010
    }
}

If the configuration version doesn’t need updating, the C2 server instead returns integer command identifiers, which the attackers refer to as productId. The Trojan maps each identifier to command information, which it stores as a serialized JSON object using the SharedPreferences API. Each identifier also has its own version, expressed as a UNIX timestamp. If the C2 response includes an unknown productId or one whose version is outdated, the malware sends a GET request to the attackers’ server at /cpc/api/xml to retrieve the command contents for all such identifiers. The C2 server responds with command information for each unknown identifier. An example of a response is shown below.

{
    "code": 200,
    "data": [{
        "productId": 979,
        "script": "{\n  \"loadType\": 1,\n  \"reload\": true,\n  \"method\": \"start\",\n  \"url2\": \"hxxp://144.217.243[.]201/vr34der34/sh65.io\",\n  \"md52\": \"de77c3303e93c9450424759f1741441c\",\n  \"name\": \"zhima\",\n  \"className\": \"com.miyc.transfer.Client\",\n  \"thread\": true,\n  \"tagName\": \"loadlib2\",\n  \"params\": [\n    {\n      \"type\": \"Context\"\n    },\n    {\n      \"type\": \"String\",\n      \"value\": \"107.151.248[.]132\"\n    },\n    {\n      \"type\": \"String\",\n      \"value\": \"1002\"\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 1337\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 7777\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 8888\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 15000\n    }\n  ],\n  \"url\": \"hxxp://144.217.243[.]201/vr34der34/sh65.io\",\n  \"md5\": \"de77c3303e93c9450424759f1741441c\"\n}",
        "version": 1778650942
    }, {
        "productId": 1019,
        "script": "{\n  \"loadType\": 1,\n  \"reload\": true,\n  \"method\": \"start\",\n  \"url2\": \"hxxp://144.217.243[.]201/vr34der34/sh65.io\",\n  \"md52\": \"de77c3303e93c9450424759f1741441c\",\n  \"name\": \"zhima\",\n  \"className\": \"com.miyc.transfer.Client\",\n  \"thread\": true,\n  \"tagName\": \"loadlib2\",\n  \"params\": [\n    {\n      \"type\": \"Context\"\n    },\n    {\n      \"type\": \"String\",\n      \"value\": \"128.14.210[.]58\"\n    },\n    {\n      \"type\": \"String\",\n      \"value\": \"1002\"\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 9999\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 7777\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 8888\n    },\n    {\n      \"type\": \"int\",\n      \"value\": 15000\n    }\n  ],\n  \"url\": \"hxxp://144.217.243[.]201/vr34der34/sh65.io\",\n  \"md5\": \"de77c3303e93c9450424759f1741441c\"\n}",
        "version": 1766001509
    }, {
        "productId": 3505,
        "script": "{\n\"tagName\":\"http\",\n\"url\":\"hxxps://api.kookjar[.]com/sayhi?channel=daihai&uuid={get_uuid_10}\"\n}",
        "version": 1776656317
    }],
    "msg": ""
}

The command information includes a tagName field, which is the command name. The code maps each name to the corresponding class responsible for executing it.

List of executable commands

List of executable commands

At the time of our research, the attackers had implemented nine commands. The table below lists command names, brief descriptions, and arguments. The functionality of these commands suggests that the malware can be used to display ads, commit ad fraud (serving as a clicker), and download additional malicious code.

Command name Description Arguments
return Return a value from SharedPreferences. key: the key whose value should be returned
copy Set the contents of the clipboard. text: the key whose value from SharedPreferences is returned as the clipboard contents
url: a link for downloading gzip-compressed data (optional); this data is then concatenated with the value of the text key, with      (5 spaces) used as a separator
http Make a POST/GET HTTP request to a specified resource and, if instructed, save the response in SharedPreferences under a specified key. url: the resource address
method: the HTTP method name (optional)
startLabel: a marker for the start of the data to save from the resource (optional)
endLabel: a marker for the end of the data to save from the resource (optional)
valueLabel: the key under which to save the value (optional)
header: a dictionary of headers for the HTTP request (optional)
content: the content of the POST request (optional)
web Open a link in the WebView and execute arbitrary JavaScript code within it. url: the link to open in the WebView
js: base64-encoded JavaScript code to execute in the WebView; used when the url parameter is empty or absent
corejs: JavaScript code to execute when the resource loads in the WebView (optional)
param: a string dictionary of parameters for launching the WebView
client: if this key is present, WebViewClient is used to handle redirects manually
time: task timeout
loadlib Not fully implemented at the time of publishing this report.
loadlib2 Download and execute arbitrary code. url: the address to download the payload from
name: the name of the module being downloaded
md5: the MD5 hash of the payload
clear: a comma-separated list of payload names to delete (optional)
params: an array of parameters to launch the payload with
className: the class name of the payload entry point
method: the name of the virtual method at the payload entry point
cmethod: the name of the static method used to instantiate the entry-point class (optional)
thread: a flag; the payload runs in a separate thread if this flag is not set
reload: a flag that, when set, restarts already loaded modules
loadlib3 Not fully implemented at the time of publishing this report.
deeplink Open a resource in the browser. url: a link to the resource
traceroute Check resource availability via an ICMP ping. host: comma-separated list of resources to check

However, attackers use only a relatively small subset of these commands in real-world attacks. As shown in the example C2 response above, at the time of publishing this report the attackers were using the loadlib2 and http commands. The payload downloaded via the loadlib2 command is a reverse proxy module named “zhima”, which researchers from the Nokia Deepfield Emergency Response Team independently discovered in TV set-top boxes around the same time as we did and also described in their report. This confirms that the attackers’ ultimate goal is building a proxy botnet.

While investigating this stage of the attack chain, we noticed that the zhima download link also included a version number. As with the previous stage, we tried other possible version numbers and found eight variants of the zhima module, the earliest of which was version 57. The complete list of identified zhima modules is provided under “Indicators of Compromise” below.

Attribution

While analyzing the complete infection chain, we noticed that the stage 2 loader created a thread with the meaningful name mosdk-host-loader. We decided to investigate what mosdk referred to in that name. This led us to a malicious app installed on various TV set-top boxes with the package name com.abc.nexus (3AD4BF5A86D26FFBF09CAE42AF330A98). It consists of several components (including a dropper similar to JarService), each used by the attackers to covertly monetize the device’s computing power. Each malicious component in the app corresponds to its own service, and the service containing the launch code for the JarService-like dropper is named AdmoyuService. In light of this and the name of the malicious thread found in the payload code, we concluded that moyu in the service name referred to MoYu Group, one of the actors linked to the BADBOX malware platform, which had been described by researchers at HUMAN. This assessment is further supported by extensive overlap between the malware’s network infrastructure and that of MoYu Group, which was independently identified by researchers from the Nokia Deepfield Emergency Response Team around the same time as our own research. Based on these similar naming patterns and prominent infrastructure overlap between the activity of MoYu Group and the attacks described in this report, we attribute it to the same actor with high confidence.

While investigating the malware downloaded by TWCore, we noticed that the domain admin.uipoxy[.]com resolved to the IP address 128.14.210[.]58, one of the C2 servers for the zhima reverse proxy module. It appears that the URL hxxp://admin.uipoxy[.]com/proxy/u/login hosts the zhima admin panel. Interestingly, this panel allows anyone to register as long as they have a valid invite code.

The malware operator registration page

The malware operator registration page

During registration, users are prompted to review the terms of use and privacy policy. Both documents are hosted on links under the pxyedge[.]com domain, which belongs to PXYEDGE, a vendor specializing in the sale of residential proxies.

On the registration page hosted at admin.uipoxy[.]com, we also found the string copyright © 2020 proxyforu[.]com all rights reserved, which linked to hxxps://proxyforu[.]com, the website of ProxyForU, another vendor of residential proxy services.

We found several similarities in the authentication APIs across all of these sites:

  • The sign-in page was hosted on an admin.* subdomain.
  • The sign-in page was located at /proxy/u/login.
  • The signup page was located at /proxy/register?channelKey=<invitation code>.

Based on this, we believe these services are connected to MoYu Group.

Conclusion

Despite efforts by cybersecurity professionals and law enforcement to shut down the BADBOX botnet, individual actors linked to it continue their malicious activity, infecting devices worldwide. Delivery methods for this kind of malware vary widely, from downloads via pre-installed backdoors to infected builds of IPTV apps. The case examined here demonstrates an even more sophisticated delivery method: distribution through the legitimate update functionality of a system application. Attackers are also actively expanding into new platforms. This malware is the first known malicious app targeting head units, which means these platforms now require protection against malware as well.

Indicators of compromise

Stage 1: JarService

ba27951b4ee1c341f4415d033369ecd3
d63bacd6d6709dd68a10ef9d374c7835
6c2e34b30da42085240ede53ab6107d4
8b5e513144a6138a966ea59e68bf9da2
e119845877089d6f4b0a70dc7388f316

Stage 2: loader

e9f3a0dab6949ce2cddab9e0aa80ae1a

Stage 3: loader/clicker

0fbaa7092204f4b1494e0b840b014774
1dcf031c40ce456b6a36a00b0acf3d11
44b6b213a6a3f299eaf88e078de95ecb
67dc78e544ebce16b85dc7c195dfbc58
9642ae619b3165d23c6349002d1abe24
b067d5b0dbecbd6498bcdfba45dba77e
f0e3f7eba2cde91e2dedb921bab47422

zhima module

412e9243f2981bbea3894254d105b3b8
71ab5517f71866279d0d87d37f2ae320
89ef78f716a75964539f2db6520be362
a4223ce4288a230d1e6c3ff2c7639045
bd4d81cd27125ad3d9a114922d468499
c6bfb1643ac7474ed8a7b4f96a187fdb
de77c3303e93c9450424759f1741441c
f8cf8c23ff597700d471fb7767df8bac

Domains and IP addresses

xmsae[.]sbs
ishano456[.]sbs
xshaon123[.]sbs
kshahnd[.]sbs
mdsjhd[.]sbs
nmnsny[.]sbs
kookjar[.]com
ty54fgd435[.]my
ue886578433[.]online
ty4523[.]space
144.217.243[.]201
107.151.248[.]132
128.14.210[.]58

Addresses used to download JarService

hxxp://ovcloudcontrol.cdn.cardoor[.]cn/upgrade/2026-06-08/bd80bd3c3d0e4bf6b5b4a825650d01f5.apk
hxxp://ovcloudcontrol.cdn.cardoor[.]cn/upgrade/2025-06-10/fe71af9ecf174de48d2b2ccc2c15fb04.apk
hxxp://ovcloudcontrol.cdn.cardoor[.]cn/upgrade/2024-11-07/fa831c3c23824b99871163387bcda7ad.apk

Hashes of TWCore (the legitimate software used to distribute JarService)

2a64c3efc11bf224aa54f24e876446c9
7a4d3ba2dacccfdda55859a5dfee2671
ea24487996eb70c1780922fb3063bcc5

  • ✇Securelist
  • IT threat evolution in Q2 2026. Mobile statistics Anton Kivva
    IT threat evolution in Q2 2026. Mobile statistics IT threat evolution in Q2 2026. Non-mobile statistics The mobile section of the quarterly cyberthreat report includes statistics on malware, adware, and potentially unwanted software for Android, as well as descriptions of the most notable threats for Android and iOS discovered during the reporting period. These statistics are based on detection alerts from Kaspersky products, collected from users who consented to provide statistical data to Kasp
     

IT threat evolution in Q2 2026. Mobile statistics

10 de Agosto de 2026, 07:00

IT threat evolution in Q2 2026. Mobile statistics
IT threat evolution in Q2 2026. Non-mobile statistics

The mobile section of the quarterly cyberthreat report includes statistics on malware, adware, and potentially unwanted software for Android, as well as descriptions of the most notable threats for Android and iOS discovered during the reporting period. These statistics are based on detection alerts from Kaspersky products, collected from users who consented to provide statistical data to Kaspersky Security Network.

The quarter in figures

According to Kaspersky Security Network, in Q2 2026:

  • More than 1.99 million attacks on mobile devices utilizing malware, adware, or unwanted mobile software were blocked.
  • The Trojan-Banker category was the most prevalent mobile malware threat with a 30.77% share of total detected applications.
  • More than 304,000 malicious installation packages were discovered, including:
    • 93,574 packages were related to mobile banking Trojans;
    • 570 packages were related to mobile ransomware Trojans.

Quarterly highlights

Attacks on mobile devices involving malware, adware, or unwanted software continued their downward trend, falling to 1,996,823 in Q2 from 2,676,328 the previous quarter.

Attacks on users of Kaspersky mobile solutions, Q4 2024 — Q2 2026 (download)

We noted a downward trend in attacks driven by specific strains of pre-installed Trojans — a shift likely tied to the rollout of patched vendor firmware.

In Q2, our telemetry uncovered multiple malicious loaders hosted directly on Google Play. As highlighted in a prior report (link in Russian), one such instance involved a PDF reader app trojanized to drop the Anatsa banking malware. Upon execution, the app presented users with a fake request to install an update, which served as a front to stage the banking Trojan on the victim’s device.

Another notable case involves a loader we detected in the Cleanova app alongside several others. The malware sent requests to a command-and-control server containing telemetry gathered from various SDKs that track the installation source. A malicious payload was returned only for certain sources. This is a fairly interesting method for bypassing app store review processes while ensuring precise victim targeting. If an analytics SDK indicates that an arbitrary installation originated from a source outside the threat actors’ scope, the malicious logic remains dormant. This effectively hides the malware from app store scanners.

Mobile threat statistics

In Q2, the number of Android malware samples totaled 304,128. It remained steady compared to the previous reporting period.

Detected malicious and potentially unwanted installation packages, Q2 2025 — Q2 2026 (download)

The detected installation packages were distributed by type as follows:

Detected mobile apps by type, Q1 — Q2 2026* (download)

* Data for the previous quarter may differ slightly from previously published data due to certain verdicts being retrospectively revised.

While the number of newly discovered banking Trojan variants fell precipitously, they continued to dominate the threat landscape as they did in Q1. Notably, the share of Creduz malware family among identified banking samples has grown significantly despite low activity in victim telemetry. This discrepancy suggests the threat actors are actively iterating on the malware — likely testing new features or bypasses — by generating a high volume of builds before staging a broader campaign.

Share* of users attacked by the given type of malicious or potentially unwanted apps out of all targeted users of Kaspersky mobile products, Q1 — Q2 2026 (download)

* The total may exceed 100% if the same users experienced multiple attack types.

Within the adware category, the sharpest declines were observed in the HiddenAd and MobiDash families. Meanwhile, the proportion of users targeted by Trojan-Dropper malware increased, primarily driven by surges in banking droppers such as Trojan-Dropper.AndroidOS.Banker and Trojan-Dropper.AndroidOS.Mamont. The corresponding drop in the Trojan-Banker category is partially explained by a shift in tactics: several banking Trojans which are now being packed were subsequently reclassified as droppers.

TOP 20 most frequently detected types of mobile malware

Note that the malware rankings below exclude riskware or potentially unwanted software, such as RiskTool or adware.

Verdict %* Q1 2026 %* Q2 2026 Difference in p.p. Change in ranking
Backdoor.AndroidOS.Triada.ag 7.09 9.35 +2.25 0
DangerousObject.Multi.Generic. 5.84 5.65 -0.19 0
DangerousObject.AndroidOS.GenericML. 5.51 5.25 -0.26 0
Trojan.AndroidOS.Boogr.gsh 2.15 3.33 +1.18 +9
Backdoor.AndroidOS.Triada.z 3.08 3.23 +0.15 +3
Trojan-Banker.AndroidOS.Mamont.hl 1.10 2.48 +1.38 +22
Trojan.AndroidOS.Fakemoney.v 3.44 2.31 -1.13 -2
Trojan-Spy.AndroidOS.Btmob.e 0.00 2.27 +2.27
Trojan.AndroidOS.Triada.fe 2.98 2.18 -0.81 0
Trojan-Dropper.AndroidOS.Banker.dd 0.01 2.16 +2.15
Trojan.AndroidOS.Triada.hf 2.23 1.93 -0.29 +1
Backdoor.AndroidOS.Triada.ad 1.40 1.93 +0.53 +8
Backdoor.AndroidOS.Keenadu.a 2.73 1.88 -0.85 -3
Backdoor.AndroidOS.Triada.ab 1.72 1.79 +0.07 +2
Trojan-Banker.AndroidOS.Mamont.iv 1.03 1.63 +0.60 +16
Trojan.AndroidOS.Generic. 1.32 1.47 +0.15 +7
Backdoor.AndroidOS.Triada.ae 1.76 1.44 -0.31 -2
Trojan.AndroidOS.Fakemoney.ej 0.00 1.43 +1.43
Trojan.AndroidOS.Triada.ii 2.07 1.41 -0.66 -5
Trojan-Spy.AndroidOS.Agent.asa 0.02 1.38 +1.36

* Unique users who encountered this malware as a percentage of all attacked users of Kaspersky mobile solutions.

The distribution of top malware families in Q2 largely mirrors the rankings from the previous reporting period. Newer variants of the Mamont banking Trojan climbed the leaderboards, displacing older iterations. This shift points to ongoing, active development of new variants by the threat actors behind the malware.

Mobile banking Trojans

In Q2, the total volume of Trojan-Banker applications dropped sharply compared to the previous quarter, totaling 93,574 installation packages.

Number of installation packages for mobile banking Trojans detected by Kaspersky, Q2 2025 — Q2 2026 (download)

Against the backdrop of this trend, the distribution shifted heavily toward Creduz Trojans. However, as noted earlier, this shift was not reflected in real-world attack metrics: virtually the entire leaderboard by proportion of targeted users continues to be dominated by diverse Mamont variants.

TOP 10 mobile bankers

Verdict %* Q1 2026 %* Q2 2026 Difference in p.p. Change in ranking
Trojan-Banker.AndroidOS.Mamont.hl 3.27 11.13 +7.86 +6
Trojan-Banker.AndroidOS.Mamont.iv 3.08 7.33 +4.25 +6
Trojan-Banker.AndroidOS.Mamont.mv 0.00 5.12 +5.12
Trojan-Banker.AndroidOS.Agent.ws 3.78 4.99 +1.22 +2
Trojan-Banker.AndroidOS.Mamont.mg 0.35 4.71 +4.36 +62
Trojan-Banker.AndroidOS.Faketoken.pac 2.56 4.10 +1.54 +6
Trojan-Banker.AndroidOS.Mamont.jo 15.75 3.73 -12.02 -6
Trojan-Banker.AndroidOS.Mamont.mc 0.83 3.51 +2.67 +26
Trojan-Banker.AndroidOS.Mamont.lf 0.00 2.79 +2.79
Trojan-Banker.AndroidOS.Agent.eq 0.89 2.58 +1.69 +23

* Unique users who encountered this malware as a percentage of all users of Kaspersky mobile security solutions who encountered banking threats.

  • ✇Securelist
  • IT threat evolution in Q1 2026. Mobile statistics Anton Kivva
    IT threat evolution in Q1 2026. Mobile statistics IT threat evolution in Q1 2026. Non-mobile statistics In the third quarter of 2025, we updated the methodology for calculating statistical indicators based on the Kaspersky Security Network. These changes affected all sections of the report except for the statistics on installation packages, which remained unchanged. To illustrate the differences between the reporting periods, we have also recalculated data for the previous quarters. Consequently
     

IT threat evolution in Q1 2026. Mobile statistics

18 de Maio de 2026, 09:00

IT threat evolution in Q1 2026. Mobile statistics
IT threat evolution in Q1 2026. Non-mobile statistics

In the third quarter of 2025, we updated the methodology for calculating statistical indicators based on the Kaspersky Security Network. These changes affected all sections of the report except for the statistics on installation packages, which remained unchanged.

To illustrate the differences between the reporting periods, we have also recalculated data for the previous quarters. Consequently, these figures may significantly differ from the previously published ones. However, subsequent reports will employ this new methodology, enabling precise comparisons with the data presented in this post.

The Kaspersky Security Network (KSN) is a global network for analyzing anonymized threat information, voluntarily shared by users of Kaspersky solutions. The statistics in this report are based on KSN data unless explicitly stated otherwise.

The quarter in numbers

According to Kaspersky Security Network, in Q1 2026:

  • More than 2.67 million attacks utilizing malware, adware, or unwanted mobile software were prevented.
  • The Trojan-Banker category was the prevalent mobile malware threat with a 52.96% share of total detected applications.
  • More than 306,000 malicious installation packages were discovered, including:
    • 162,275 packages related to mobile banking Trojans;
    • 439 packages related to mobile ransomware Trojans.

Quarterly highlights

The number of malware, adware, or unwanted software attacks on mobile devices decreased to 2,676,328 in Q1, down from 3,239,244 in the previous quarter.

Attacks on users of Kaspersky mobile solutions, Q3 2024 — Q1 2026 (download)

The overall drop in attack volume stems primarily from a reduction in adware and RiskTool detections. Nonetheless, this trend does not equate to a lower risk for mobile users. As shown later in this report, the number of unique users targeted by these threats remained relatively stable.

In Q1, Synthient researchers identified a link between the notorious Kimwolf botnet and the IPIDEA proxy network. This network was later taken down in cooperation with GTIG.

In early 2026, we discovered several apps on Google Play and the App Store that contained a new version of the SparkCat crypto stealer.

The Trojan code, meticulously concealed, was embedded into the infected Android apps. The obfuscated malicious Rust library was decrypted using a Dalvik-like virtual machine custom-built by the attackers. The iOS version of the malware also underwent several changes; specifically, the attackers began leveraging Apple’s proprietary Vision framework for optical character recognition (OCR).

Mobile threat statistics

The number of Android malware samples saw a slight increase compared to Q4 2025, reaching a total of 306,070.

Detected malicious and potentially unwanted installation packages, Q1 2025 — Q1 2026 (download)

The detected installation packages were distributed by type as follows:

Detected mobile apps by type, Q4 2025* — Q1 2026 (download)

* Data for the previous quarter may differ slightly from previously published figures due to certain verdicts being retrospectively revised.

Threat actors once again ramped up the production of new banking Trojans; as a result, this category overtook all others in volume, accounting for more than half of all installation packages.

Share* of users attacked by the given type of malicious or potentially unwanted app out of all targeted users of Kaspersky mobile products, Q4 2025 — Q1 2026 (download)

* The total percentage may exceed 100% if the same users encountered multiple attack types.

Following the surge in banking Trojan installation packages, the number of associated attacks also rose, causing Trojan-Banker apps to climb one spot in terms of their share of targeted users. Mamont variants emerged as the most prevalent banking Trojans, accounting for 73.5% of detections, with the rest of the users encountering Faketoken, Rewardsteal, Creduz, and other families.

Yet banking Trojans were still outpaced by adware and RiskTool-type unwanted apps when measured by the total number of affected users. Despite a decrease in their share of installation packages, these two app types retained their positions as the top two threats by attack volume. The most common adware detections involved HiddenAd (44.9%) and MobiDash (38.1%), while most frequently seen RiskTool apps were Revpn (67%) and SpyLoan (20.5%).

TOP 20 most frequently detected types of mobile malware

Note that the malware rankings below exclude riskware or potentially unwanted software, such as RiskTool or adware.

Verdict %* Q4 2025 %* Q1 2026 Difference in p.p. Change in ranking
Backdoor.AndroidOS.Triada.ag 2.62 7.09 +4.48 +10
DangerousObject.Multi.Generic. 6.75 5.84 -0.92 -1
DangerousObject.AndroidOS.GenericML. 3.52 5.51 +1.99 +6
Trojan-Banker.AndroidOS.Mamont.jo 0.00 5.28 +5.28
Trojan.AndroidOS.Fakemoney.v 5.40 3.44 -1.96 -1
Trojan-Downloader.AndroidOS.Keenadu.l 0.00 3.35 +3.35
Trojan-Banker.AndroidOS.Mamont.jx 0.00 3.09 +3.09
Backdoor.AndroidOS.Triada.z 4.87 3.08 -1.79 -2
Trojan.AndroidOS.Triada.fe 5.01 2.98 -2.02 -4
Backdoor.AndroidOS.Keenadu.a 2.07 2.73 +0.66 +6
Trojan-Banker.AndroidOS.Mamont.jg 0.34 2.37 +2.03
Trojan.AndroidOS.Triada.hf 2.15 2.23 +0.07 +3
Trojan.AndroidOS.Boogr.gsh 2.35 2.15 -0.20 0
Trojan.AndroidOS.Triada.ii 5.68 2.07 -3.60 -11
Backdoor.AndroidOS.Triada.ae 1.91 1.76 -0.16 +3
Backdoor.AndroidOS.Triada.ab 1.79 1.72 -0.08 +3
Trojan.AndroidOS.Triada.gn 2.38 1.58 -0.80 -5
Trojan-Banker.AndroidOS.Mamont.gg 1.56 1.50 -0.06 +2
Trojan.AndroidOS.Triada.ga 1.48 1.50 +0.01 +4
Backdoor.AndroidOS.Triada.ad 0.53 1.40 +0.87 +44

* Unique users who encountered this malware as a percentage of all attacked users of Kaspersky mobile solutions.

The pre-installed Triada.ag backdoor rose to the top spot; it is similar to the older Triada.z version we documented previously. Because the same variant was pre-installed across a wide range of devices, the total number of affected users is aggregated. Consequently, Triada outpaced even Mamont, as users encountered a variety of Mamont variants, causing the share of that banking Trojan to spread across multiple rows. Other pre-installed Triada variants (Triada.z, Triada.ae, Triada.ab, and Triada.ad) also made the rankings. Furthermore, we observed increasing activity from the Keenadu.a backdoor, while diverse variants of the embedded Triada Trojan remained in the rankings.

Mobile banking Trojans

Q1 2026 saw a characteristic rise in mobile banking Trojan activity, with the number of packages totaling 162,275, a 50% increase compared to the prior quarter.

Number of installation packages for mobile banking Trojans detected by Kaspersky, Q1 2025 — Q1 2026 (download)

We saw a similar growth in the previous quarter, with banking Trojan volumes rising by 50% during that period as well. Various Mamont variants accounted for the absolute majority of packages and represented nearly every entry in the rankings of most frequent banking Trojans by affected user count.

TOP 10 mobile bankers

Verdict %* Q4 2025 %* Q1 2026 Difference in p.p. Change in ranking
Trojan-Banker.AndroidOS.Mamont.jo 0.00 15.75 +15.75
Trojan-Banker.AndroidOS.Mamont.jx 0.00 9.22 +9.22
Trojan-Banker.AndroidOS.Mamont.jg 1.47 7.08 +5.61 +24
Trojan-Banker.AndroidOS.Mamont.gg 6.79 4.48 -2.32 -3
Trojan-Banker.AndroidOS.Mamont.ks 0.00 3.98 +3.98
Trojan-Banker.AndroidOS.Agent.ws 6.03 3.78 -2.25 -2
Trojan-Banker.AndroidOS.Mamont.hl 4.30 3.27 -1.03 +1
Trojan-Banker.AndroidOS.Mamont.iv 6.00 3.08 -2.92 -3
Trojan-Banker.AndroidOS.Mamont.jb 3.93 3.07 -0.86 +1
Trojan-Banker.AndroidOS.Mamont.jv 0.00 2.79 +2.79

* Unique users who encountered this malware as a percentage of all users of Kaspersky mobile security solutions who encountered banking threats.

  • ✇Securelist
  • BeatBanker: A dual‑mode Android Trojan GReAT
    Recently, we uncovered BeatBanker, an Android‑based malware campaign targeting Brazil. It spreads primarily through phishing attacks via a website disguised as the Google Play Store. To achieve their goals, the malicious APKs carry multiple components, including a cryptocurrency miner and a banking Trojan capable of completely hijacking the device and spoofing screens, among other things. In a more recent campaign, the attackers switched from the banker to a known RAT. This blog post outlines ea
     

BeatBanker: A dual‑mode Android Trojan

Por:GReAT
10 de Março de 2026, 07:00

Recently, we uncovered BeatBanker, an Android‑based malware campaign targeting Brazil. It spreads primarily through phishing attacks via a website disguised as the Google Play Store. To achieve their goals, the malicious APKs carry multiple components, including a cryptocurrency miner and a banking Trojan capable of completely hijacking the device and spoofing screens, among other things. In a more recent campaign, the attackers switched from the banker to a known RAT.

This blog post outlines each phase of the malware’s activity on the victim’s handset, explains how it ensures long‑term persistence, and describes its communication with mining pools.

Key findings:

  • To maintain persistence, the Trojan employs a creative mechanism: it plays an almost inaudible audio file on a loop so it cannot be terminated. This inspired us to name it BeatBanker.
  • It monitors battery temperature and percentage, and checks whether the user is using the device.
  • At various stages of the attack, BeatBanker disguises itself as a legitimate application on the Google Play Store and as the Play Store itself.
  • It deploys a banker in addition to a cryptocurrency miner.
  • When the user tries to make a USDT transaction, BeatBanker creates overlay pages for Binance and Trust Wallet, covertly replacing the destination address with the threat actor’s transfer address.
  • New samples now drop BTMOB RAT instead of the banking module.

Initial infection vector

The campaign begins with a counterfeit website, cupomgratisfood[.]shop, that looks exactly like the Google Play Store. This fake app store contains the “INSS Reembolso” app, which is in fact a Trojan. There are also other apps that are most likely Trojans too, but we haven’t obtained them.

The INSS Reembolso app poses as the official mobile portal of Brazil’s Instituto Nacional do Seguro Social (INSS), a government service that citizens can use to perform more than 90 social security tasks, from retirement applications and medical exam scheduling to viewing CNIS (National Registry of Social Information), tax, and payment statements, as well as tracking request statuses. By masquerading as this trusted platform, the fake page tricks users into downloading the malicious APK.

Packing

The initial APK file is packed and makes use of a native shared library (ELF) named  libludwwiuh.so that is included in the application. Its main task is to decrypt another ELF file that will ultimately load the original DEX file.

First, libludwwiuh.so decrypts an embedded encrypted ELF file and drops it to a temporary location on the device under the name l.so. The same code that loaded the libludwwiuh.so library then loads this file, which uses the Java Native Interface (JNI) to continue execution.

l.so – the DEX loader

The library does not have calls to its functions; instead, it directly calls the Java methods whose names are encrypted in the stack using XOR (stack strings technique) and restored at runtime:

Initially, the loader makes a request to collect some network information using https://ipapi.is to determine whether the infected device is a mobile device, if a VPN is being used, and to obtain the IP address and other details.

This loader is engineered to bypass mobile antivirus products by utilizing dalvik.system.InMemoryDexClassLoader. It loads malicious DEX code directly into memory, avoiding the creation of any files on the device’s file system. The necessary DEX files can be extracted using dynamic analysis tools like Frida.

Furthermore, the sample incorporates anti-analysis techniques, including runtime checks for emulated or analysis environments. When such an environment is detected (or when specific checks fail, such as verification of the supported CPU_ABI), the malware can immediately terminate its own process by invoking android.os.Process.killProcess(android.os.Process.myPid()), effectively self-destructing to hinder dynamic analysis.

After execution, the malware displays a user interface that mimics the Google Play Store page, showing an update available for the INSS Reembolso app. This is intended to trick victims into granting installation permissions by tapping the “Update” button, which allows the download of additional hidden malicious payloads.

The payload delivery process mimics the application update. The malware uses the REQUEST_INSTALL_PACKAGES permission to install APK files directly into its memory, bypassing Google Play. To ensure persistence, the malware keeps a notification about a system update pinned to the foreground and activates a foreground service with silent media playback, a tactic designed to prevent the operating system from terminating the malicious process.

Crypto mining

When UPDATE is clicked on a fake Play Store screen, the malicious application downloads and executes an ELF file containing a cryptomining payload. It starts by issuing a GET request to the C2 server at either hxxps://accessor.fud2026.com/libmine-<arch>.so or hxxps://fud2026.com/libmine-<arch>.so. The downloaded file is then decrypted using CipherInputStream(), with the decryption key being derived from the SHA-1 hash of the downloaded file’s name, ensuring that each version of the file is encrypted with a unique key. The resulting file is renamed d-miner.

The decrypted payload is an ARM-compiled XMRig 6.17.0 binary. At runtime, it attempts to create a direct TCP connection to pool.fud2026[.]com:9000. If successful, it uses this endpoint; otherwise, it automatically switches to the proxy endpoint pool-proxy.fud2026[.]com:9000. The final command-line arguments passed to XMRig are as follows:

  • -o pool.fud2026[.]com:9000 or pool-proxy.fud2026[.]com:9000 (selected dynamically)
  • -k (keepalive)
  • --tls (encrypted connection)
  • --no-color (disable colored output)
  • --nicehash (NiceHash protocol support)

C2 telemetry

The malware uses Google’s legitimate Firebase Cloud Messaging (FCM) as its primary command‑and‑control (C2) channel. In the analyzed sample, each FCM message received triggers a check of the battery status, temperature, installation date, and user presence. A hidden cryptocurrency miner is then started or stopped as needed. These mechanisms ensure that infected devices remain permanently accessible and responsive to the attacker’s instructions, which are sent through the FCM infrastructure. The attacker monitors the following information:

  • isCharging: indicates whether the phone is charging;
  • batteryLevel: the exact battery percentage;
  • isRecentInstallation: indicates whether the application was recently installed (if so, the implant delays malicious actions);
  • isUserAway: indicates whether the user is away from the device (screen off and inactive);
  • overheat: indicates whether the device is overheating;
  • temp: the current battery temperature.

Persistence

The KeepAliveServiceMediaPlayback component ensures continuous operation by initiating uninterrupted playback via MediaPlayer. It keeps the service active in the foreground using a notification and loads a small, continuous audio file. This constant activity prevents the system from suspending or terminating the process due to inactivity.

The identified audio output8.mp3 is five seconds long and plays on a loop. It contains some Chinese words.

Banking module

BeatBanker compromises the machine with a cryptocurrency miner and introduces another malicious APK that acts as a banking Trojan. This Trojan uses previously obtained permission to install an additional APK called INSS Reebolso, which is associated with the package com.destination.cosmetics.

Similar to the initial malicious APK, it establishes persistence by creating and displaying a fixed notification in the foreground to hinder removal. Furthermore, BeatBanker attempts to trick the user into granting accessibility permissions to the package.

Leveraging the acquired accessibility permissions, the malware establishes comprehensive control over the device’s user interface.

The Trojan constantly monitors the foreground application. It targets the official Binance application (com.binance.dev) and the Trust Wallet application (com.wallet.crypto.trustapp), focusing on USDT transactions. When a user tries to withdraw USDT, the Trojan instantly overlays the target app’s transaction confirmation screen with a highly realistic page sourced from Base64-encoded HTML stored in the banking module.

The module captures the original withdrawal address and amount, then surreptitiously substitutes the destination address with an attacker-controlled one using AccessibilityNodeInfo.ACTION_SET_TEXT. The overlay page shows the victim the address they copied (for Binance) or just shows a loading icon (for Trust Wallet), leading them to believe they are remitting funds to the intended wallet when, in fact, the cryptocurrency is transferred to the attacker’s designated address.

Fake overlay pages: Binance (left) and Trust Wallet (right)

Fake overlay pages: Binance (left) and Trust Wallet (right)

Target browsers

BeatBanker’s banking module monitors the following browsers installed on the victim’s device:

  • Chrome
  • Firefox
  • sBrowser
  • Brave
  • Opera
  • DuckDuckGo
  • Dolphin Browser
  • Edge

Its aim is to collect the URLs accessed by the victim using the regular expression ^(?:https?://)?(?:[^:/\\\\]+\\\\.)?([^:/\\\\]+\\\\.[^:/\\\\]+). It also offers management functionalities (add, edit, delete, list) for links saved in the device’s default browser, as well as the ability to open links provided by the attacker.

C2 communication

BeatBanker is also designed to receive commands from the C2. These commands aim to collect the victim’s personal information and gain complete control of the device.

Command Description
0 Starts dynamic loading of the DEX class
Update Simulates software update and locks the screen
msg: Displays a Toast message with the provided text
goauth<*> Opens Google Authenticator (if installed) and enables the AccessService.SendGoogleAuth flag used to monitor and retrieve authentication codes
kill<*> Sets the protection bypass flag AccessService.bypass to “True”
and sets the initializeService.uninstall flag to “Off”
srec<*> Starts or stops audio recording (microphone), storing the recorded data in a file with an automatically generated filename. The following path format is used to store the recording: /Config/sys/apps/rc/<timestamp>_0REC<last5digits>.wav
pst<*> Pastes text from the clipboard (via Accessibility Services)
GRC<*> Lists all existing audio recording files
gtrc<*> Sends a specific audio recording file to the C2
lcm<*> Lists supported front camera resolutions
usdtress<*> Sets a USDT cryptocurrency address when a transaction is detected
lnk<*> Opens a link in the browser
EHP<*> Updates login credentials (host, port, name) and restarts the application
ssms<*> Sends an SMS message (individually or to all contacts)
CRD<*> Adds (E>) or removes (D>) packages from the list of blocked/disabled applications
SFD<*> Deletes files (logs, recordings, tones) or uninstalls itself
adm<>lck<> Immediately locks the screen using Device Administrator permissions
adm<>wip<> Performs a complete device data wipe (factory reset)
Aclk<*> Executes a sequence of automatic taps (auto-clicker) or lists existing macros
KBO<*>lod Checks the status of the keylogger and virtual keyboard
KBO<*>AKP/AKA Requests permission to activate a custom virtual keyboard or activates one
KBO<*>ENB: Enables (1) or disables (0) the keylogger
RPM<*>lod Checks the status of all critical permissions
RPM<*>ACC Requests Accessibility Services permission
RPM<*>DOZ Requests Doze/App Standby permission (battery optimization)
RPM<*>DRW Requests Draw Over Other Apps permission (overlay)
RPM<*>INST Requests permission to install apps from unknown sources (Android 8+)
ussd<*> Executes a USSD code (e.g., *#06# for IMEI)
Blkt<*> Sets the text for the lock overlay
BLKV<*> Enables or disables full-screen lock using WindowManager.LayoutParams.TYPE_APPLICATION_OVERLAY to display a black FrameLayout element over the entire screen
SCRD<> / SCRD2<> Enables/disables real-time screen text submission to the C2 (screen reading)
rdall<*> Clears or sends all keylogger logs
rdd<*> Deletes a specific log file
rd<*> Sends the content of a specific keylogger file
MO<*> Manages application monitoring (add, remove, list, screenshot, etc.)
FW<*> Controls VPN and firewall (status, block/allow apps, enable/disable)
noti<*> Creates persistent and custom notifications
sp<*> Executes a sequence of swipes/taps (gesture macro)
lodp<*> Manages saved links in the internal browser (add, edit, delete, list)
scc: Starts screen capture/streaming

New BeatBanker samples dropping BTMOB

Our recent detection efforts uncovered a campaign leveraging a fraudulent StarLink application that we assess as being a new BeatBanker variant. The infection chain mirrored previous instances, employing identical persistence methods – specifically, looped audio and fixed notifications. Furthermore, this variant included a crypto miner similar to those seen previously. However, rather than deploying the banking module, it was observed distributing the BTMOB remote administration tool.

The BTMOB APK is highly obfuscated and contains a class responsible for configuration. Despite this, it’s possible to identify a parser used to define the application’s behavior on the device, as well as persistence features, such as protection against restart, deletion, lock reset, and the ability to perform real-time screen recording.

String decryption

The simple decryption routine uses repetitive XOR between the encrypted data and a short key. It iterates through the encrypted text byte by byte, repeating the key from the beginning whenever it reaches the end. At each position, the sample XORs the encrypted byte with the corresponding byte of the key, overwriting the original. Ultimately, the modified byte array contains the original text, which is then converted to UTF-8 and returned as a string.

Malware-as-a-Service

BTMOB is an Android remote administration tool that evolved from the CraxsRAT, CypherRAT, and SpySolr families. It provides full remote control of the victim’s device and is sold in a Malware-as-a-Service (MaaS) model. On July 26, 2025, a threat actor posted a screenshot of the BTMOB RAT in action on GitHub under the username “brmobrats”, along with a link to the website btmob[.]xyz. The website contains information about the BTMOB RAT, including its version history, features, and other relevant details. It also redirects to a Telegram contact. Cyfirma has already linked this account to CraxsRAT and CypherRAT.

Recently, a YouTube channel was created by a different threat actor that features videos demonstrating how to use the malware and facilitate its sale via Telegram.

We also saw the distribution and sale of leaked BTMOB source code on some dark web forums. This may suggest that the creator of BeatBanker acquired BTMOB from its original author or the source of the leak and is utilizing it as the final payload, replacing the banking module observed in the INSS Reebolso incident.

In terms of functionality, BTMOB maintains a set of intrusive capabilities, including: automatic granting of permissions, especially on Android 13–15 devices; use of a black FrameLayout overlay to hide system notifications similar to the one observed in the banking module; silent installation; persistent background execution; and mechanisms designed to capture screen lock credentials, including PINs, patterns, and passwords. The malware also provides access to front and rear cameras, captures keystrokes in real time, monitors GPS location, and constantly collects sensitive data. Together, these functionalities provide the operator with comprehensive remote control, persistent access, and extensive surveillance capabilities over compromised devices.

Victims

All variants of BeatBanker – those with the banking module and those with the BTMOB RAT – were detected on victims in Brazil. Some of the samples that deliver BTMOB appear to use WhatsApp to spread, as well as phishing pages.

Conclusion

BeatBanker is an excellent example of how mobile threats are becoming more sophisticated and multi-layered. Initially focused in Brazil, this Trojan operates a dual campaign, acting as a Monero cryptocurrency miner, discreetly draining your device’s battery life while also stealing banking credentials and tampering with cryptocurrency transactions. Moreover, the most recent version goes even further, substituting the banking module with a full-fledged BTMOB RAT.

The attackers have devised inventive tricks to maintain persistence. They keep the process alive by looping an almost inaudible audio track, which prevents the operating system from terminating it and allows BeatBanker to remain active for extended periods.

Furthermore, the threat demonstrates an obsession with staying hidden. It monitors device usage, battery level and temperature. It even uses Google’s legitimate system (FCM) to receive commands. The threat’s banking module is capable of overlaying Binance and Trust Wallet screens and diverting USDT funds to the criminals’ wallets before the victim even notices.

The lesson here is clear: distrust is your best defense. BeatBanker spreads through fake websites that mimic Google Play, disguising itself as trustworthy government applications. To protect yourself against threats like this, it is essential to:

  1. Download apps only from official sources. Always use the Google Play Store or the device vendor’s official app store. Make sure you use the correct app store app, and verify the developer.
  2. Check permissions. Pay attention to the permissions that applications request, especially those related to accessibility and installation of third-party packages.
  3. Keep the system updated. Security updates for Android and your mobile antivirus are essential.

Our solutions detect this threat as HEUR:Trojan-Dropper.AndroidOS.BeatBanker and HEUR:Trojan-Dropper.AndroidOS.Banker.*

Indicators of compromise

Additional IoCs, TTPs and detection rules are available to customers of our Threat Intelligence Reporting service. For more details, contact us at crimewareintel@kaspersky.com.

Host-based (MD5 hashes)
F6C979198809E13859196B135D21E79B – INSS Reebolso
D3005BF1D52B40B0B72B3C3B1773336B – StarLink

Domains
cupomgratisfood[.]shop
fud2026[.]com
accessor.fud2026[.]com
pool.fud2026[.]com
pool-proxy.fud2026[.]com
aptabase.fud2026[.]com
aptabase.khwdji319[.]xyz
btmob[.]xyz
bt-mob[.]net

  • ✇Securelist
  • Mobile malware evolution in 2025 Anton Kivva
    Starting from the third quarter of 2025, we have updated our statistical methodology based on the Kaspersky Security Network. These changes affect all sections of the report except for the installation package statistics, which remain unchanged. To illustrate trends between reporting periods, we have recalculated the previous year’s data; consequently, these figures may differ significantly from previously published numbers. All subsequent reports will be generated using this new methodology, en
     

Mobile malware evolution in 2025

4 de Março de 2026, 07:00

Starting from the third quarter of 2025, we have updated our statistical methodology based on the Kaspersky Security Network. These changes affect all sections of the report except for the installation package statistics, which remain unchanged.

To illustrate trends between reporting periods, we have recalculated the previous year’s data; consequently, these figures may differ significantly from previously published numbers. All subsequent reports will be generated using this new methodology, ensuring accurate data comparisons with the findings presented in this article.

Kaspersky Security Network (KSN) is a global network for analyzing anonymized threat intelligence, voluntarily shared by Kaspersky users. The statistics in this report are based on KSN data unless explicitly stated otherwise.

The year in figures

According to Kaspersky Security Network, in 2025:

  • Over 14 million attacks involving malware, adware or unwanted mobile software were blocked.
  • Adware remained the most prevalent mobile threat, accounting for 62% of all detections.
  • Over 815 thousand malicious installation packages were detected, including 255 thousand mobile banking Trojans.

The year’s highlights

In 2025, cybercriminals launched an average of approximately 1.17 million attacks per month against mobile devices using malicious, advertising, or unwanted software. In total, Kaspersky solutions blocked 14,059,465 attacks throughout the year.

Attacks on Kaspersky mobile users in 2025 (download)

Beyond the malware mentioned in previous quarterly reports, 2025 saw the discovery of several other notable Trojans. Among these, in Q4 we uncovered the Keenadu preinstalled backdoor. This malware is integrated into device firmware during the manufacturing stage. The malicious code is injected into libandroid_runtime.so – a core library for the Android Java runtime environment – allowing a copy of the backdoor to enter the address space of every app running on the device. Depending on the specific app, the malware can then perform actions such as inflating ad views, displaying banners on behalf of other apps, or hijacking search queries. The functionality of Keenadu is virtually unlimited, as its malicious modules are downloaded dynamically and can be updated remotely.

Cybersecurity researchers also identified the Kimwolf IoT botnet, which specifically targets Android TV boxes. Infected devices are capable of launching DDoS attacks, operating as reverse proxies, and executing malicious commands via a reverse shell. Subsequent analysis revealed that Kimwolf’s reverse proxy functionality was being leveraged by proxy providers to use compromised home devices as residential proxies.

Another notable discovery in 2025 was the LunaSpy Trojan.

LunaSpy Trojan, distributed under the guise of an antivirus app

LunaSpy Trojan, distributed under the guise of an antivirus app

Disguised as antivirus software, this spyware exfiltrates browser passwords, messaging app credentials, SMS messages, and call logs. Furthermore, it is capable of recording audio via the device’s microphone and capturing video through the camera. This threat primarily targeted users in Russia.

Mobile threat statistics

815,735 new unique installation packages were observed in 2025, showing a decrease compared to the previous year. While the decline in 2024 was less pronounced, this past year saw the figure drop by nearly one-third.

Detected Android-specific malware and unwanted software installation packages in 2022–2025 (download)

The overall decrease in detected packages is primarily due to a reduction in apps categorized as not-a-virus. Conversely, the number of Trojans has increased significantly, a trend clearly reflected in the distribution data below.

Detected packages by type

Distribution* of detected mobile software by type, 2024–2025 (download)

* The data for the previous year may differ from previously published data due to some verdicts being retrospectively revised.

A significant increase in Trojan-Banker and Trojan-Spy apps was accompanied by a decline in AdWare and RiskTool files. The most prevalent banking Trojans were Mamont (accounting for 49.8% of apps) and Creduz (22.5%). Leading the persistent adware category were MobiDash (39%), Adlo (27%), and HiddenAd (20%).

Share* of users attacked by each type of malware or unwanted software out of all users of Kaspersky mobile solutions attacked in 2024–2025 (download)

* The total may exceed 100% if the same users encountered multiple attack types.

Trojan-Banker malware saw a significant surge in 2025, not only in terms of unique file counts but also in the total number of attacks. Nevertheless, this category ranked fourth overall, trailing far behind the Trojan file category, which was dominated by various modifications of Triada and Fakemoney.

TOP 20 types of mobile malware

Note that the malware rankings below exclude riskware and potentially unwanted apps, such as RiskTool and adware.

Verdict % 2024* % 2025* Difference in p.p. Change in ranking
Trojan.AndroidOS.Triada.fe 0.04 9.84 +9.80
Trojan.AndroidOS.Triada.gn 2.94 8.14 +5.21 +6
Trojan.AndroidOS.Fakemoney.v 7.46 7.97 +0.51 +1
DangerousObject.Multi.Generic 7.73 5.83 –1.91 –2
Trojan.AndroidOS.Triada.ii 0.00 5.25 +5.25
Trojan-Banker.AndroidOS.Mamont.da 0.10 4.12 +4.02
Trojan.AndroidOS.Triada.ga 10.56 3.75 –6.81 –6
Trojan-Banker.AndroidOS.Mamont.db 0.01 3.53 +3.51
Backdoor.AndroidOS.Triada.z 0.00 2.79 +2.79
Trojan-Banker.AndroidOS.Coper.c 0.81 2.54 +1.72 +35
Trojan-Clicker.AndroidOS.Agent.bh 0.34 2.48 +2.14 +74
Trojan-Dropper.Linux.Agent.gen 1.82 2.37 +0.55 +4
Trojan.AndroidOS.Boogr.gsh 5.41 2.06 –3.35 –8
DangerousObject.AndroidOS.GenericML 2.42 1.97 –0.45 –3
Trojan.AndroidOS.Triada.gs 3.69 1.93 –1.76 –9
Trojan-Downloader.AndroidOS.Agent.no 0.00 1.87 +1.87
Trojan.AndroidOS.Triada.hf 0.00 1.75 +1.75
Trojan-Banker.AndroidOS.Mamont.bc 1.13 1.65 +0.51 +8
Trojan.AndroidOS.Generic. 2.13 1.47 –0.66 –6
Trojan.AndroidOS.Triada.hy 0.00 1.44 +1.44

* Unique users who encountered this malware as a percentage of all attacked users of Kaspersky mobile solutions.

The list is largely dominated by the Triada family, which is distributed via malicious modifications of popular messaging apps. Another infection vector involves tricking victims into installing an official messaging app within a “customized virtual environment” that supposedly offers enhanced configuration options. Fakemoney scam applications, which promise fraudulent investment opportunities or fake payouts, continue to target users frequently, ranking third in our statistics. Meanwhile, the Mamont banking Trojan variants occupy the 6th, 8th, and 18th positions by number of attacks. The Triada backdoor preinstalled in the firmware of certain devices reached the 9th spot.

Region-specific malware

This section describes malware families whose attack campaigns are concentrated within specific countries.

Verdict Country* %**
Trojan-Banker.AndroidOS.Coper.a Türkiye 95.74
Trojan-Dropper.AndroidOS.Hqwar.bj Türkiye 94.96
Trojan.AndroidOS.Thamera.bb India 94.71
Trojan-Proxy.AndroidOS.Agent.q Germany 93.70
Trojan-Banker.AndroidOS.Coper.c Türkiye 93.42
Trojan-Banker.AndroidOS.Rewardsteal.lv India 92.44
Trojan-Banker.AndroidOS.Rewardsteal.jp India 92.31
Trojan-Banker.AndroidOS.Rewardsteal.ib India 91.91
Trojan-Dropper.AndroidOS.Rewardsteal.h India 91.45
Trojan-Banker.AndroidOS.Rewardsteal.nk India 90.98
Trojan-Dropper.AndroidOS.Agent.sm Türkiye 90.34
Trojan-Dropper.AndroidOS.Rewardsteal.ac India 89.38
Trojan-Banker.AndroidOS.Rewardsteal.oa India 89.18
Trojan-Banker.AndroidOS.Rewardsteal.ma India 88.58
Trojan-Spy.AndroidOS.SmForw.ko India 88.48
Trojan-Dropper.AndroidOS.Pylcasa.c Brazil 88.25
Trojan-Dropper.AndroidOS.Hqwar.bf Türkiye 88.15
Trojan-Banker.AndroidOS.Agent.pp India 87.85

* Country where the malware was most active.
** Unique users who encountered the malware in the indicated country as a percentage of all users of Kaspersky mobile solutions who were attacked by the same malware.

Türkiye saw the highest concentration of attacks from Coper banking Trojans and their associated Hqwar droppers. In India, Rewardsteal Trojans continued to proliferate, exfiltrating victims’ payment data under the guise of monetary giveaways. Additionally, India saw a resurgence of the Thamera Trojan, which we previously observed frequently attacking users in 2023. This malware hijacks the victim’s device to illicitly register social media accounts.

The Trojan-Proxy.AndroidOS.Agent.q campaign, concentrated in Germany, utilized a compromised third-party application designed for tracking discounts at a major German retail chain. Attackers monetized these infections through unauthorized use of the victims’ devices as residential proxies.

In Brazil, 2025 saw a concentration of Pylcasa Trojan attacks. This malware is primarily used to redirect users to phishing pages or illicit online casino sites.

Mobile banking Trojans

The number of new banking Trojan installation packages surged to 255,090, representing a several-fold increase over previous years.

Mobile banking Trojan installation packages detected by Kaspersky in 2022–2025 (download)

Notably, the total number of attacks involving bankers grew by 1.5 times, maintaining the same growth rate seen in the previous year. Given the sharp spike in the number of unique malicious packages, we can conclude that these attacks yield significant profit for cybercriminals. This is further evidenced by the fact that threat actors continue to diversify their delivery channels and accelerate the production of new variants in an effort to evade detection by security solutions.

TOP 10 mobile bankers

Verdict % 2024* % 2025* Difference in p.p. Change in ranking
Trojan-Banker.AndroidOS.Mamont.da 0.86 15.65 +14.79 +28
Trojan-Banker.AndroidOS.Mamont.db 0.12 13.41 +13.29
Trojan-Banker.AndroidOS.Coper.c 7.19 9.65 +2.46 +2
Trojan-Banker.AndroidOS.Mamont.bc 10.03 6.26 –3.77 –3
Trojan-Banker.AndroidOS.Mamont.ev 0.00 4.10 +4.10
Trojan-Banker.AndroidOS.Coper.a 9.04 4.00 –5.04 –4
Trojan-Banker.AndroidOS.Mamont.ek 0.00 3.73 +3.73
Trojan-Banker.AndroidOS.Mamont.cb 0.64 3.04 +2.40 +26
Trojan-Banker.AndroidOS.Faketoken.pac 2.17 2.95 +0.77 +5
Trojan-Banker.AndroidOS.Mamont.hi 0.00 2.75 +2.75

* Unique users who encountered this malware as a percentage of all users of Kaspersky mobile solutions who encountered banking threats.

In 2025, we observed a massive surge in activity from Mamont banking Trojans. They accounted for approximately half of all new apps in their category and also were utilized in half of all banking Trojan attacks.

Conclusion

The year 2025 saw a continuing trend toward a decline in total unique unwanted software installation packages. However, we noted a significant year-over-year increase in specific threats – most notably mobile banking Trojans and spyware – even though adware remained the most frequently detected threat overall.

Among the mobile threats detected, we have seen an increased prevalence of preinstalled backdoors, such as Triada and Keenadu. Consistent with last year’s findings, certain mobile malware families continue to proliferate via official app stores. Finally, we have observed a growing interest among threat actors in leveraging compromised devices as proxies.

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