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New BitLocker extortion activity: RDP, MSSQL, RMM Abuse New Project CAV3RN .NET Native AOT communication module HelloNet campaign: a threat via the ViPNet update system GoSerpent backdoor attacks in Southeast Asia OkoBot framework infection chain Threat landscape for industrial automation systems. Q1 2026 When checking the URL isn't enough: phishing via the Microsoft identity platform Armored Likho's new weapon: BusySnake Stealer How to improve your organization's security based on compromise assessment findings How a single ScreenConnect incident exposed a massive campaign How the ToddyCat APT group gains access to Gmail accounts The Gentlemen RaaS: rapid growth and a new ransomware variant CVE-2024-2658 vulnerability in Schneider Electric software: risks to industrial control systems Threat landscape for SMBs in 2026: fake AI tools, phishing and more StrikeShark: a new campaign involving a custom SharkLoader and Cobalt Strike Beacon An unknown actor distributes malicious VBS scripts via WhatsApp Gamers beware: malicious wallpapers on Steam found stealing accounts Hacktivists are broadening their scope beyond political motivation Argamal: Malware hidden in hentai games Wardriving assessment across Mexico: Preparing for the 2026 World Cup Containers on fire: from container escapes to supply chain attacks Security risks for OpenClaw users and how to mitigate them What’s in the container? Analyzing vulnerabilities, risks and protection with Kaspersky Container Security and Pirates in the crosshairs: how one cybercrime gang has been infecting book, movie, and TV show fans for years Cloud Atlas activity in the second half of 2025 and early 2026: new tools and a new payload How an image could compromise your Mac: understanding an ExifTool vulnerability (CVE-2026-3102) IT threat evolution in Q1 2026. Non-mobile statistics Kimsuky targets organizations with PebbleDash-based tools State of ransomware in 2026 CVE-2025-68670: an RCE vulnerability in the xrdp server The vulnerability landscape in Q1 2026 OceanLotus suspected of distributing ZiChatBot malware via wheel packages in PyPI How to spot a suspicious website “Legitimate” phishing: how attackers weaponize Amazon SES to bypass email security PhantomRPC: A new privilege escalation technique in Windows RPC Threat landscape for industrial automation systems in Q4 2025 JanelaRAT: a financial threat targeting users in Latin America The long road to your crypto: ClipBanker and its marathon infection chain Financial cyberthreats in 2025 and the outlook for 2026 A laughing RAT: CrystalX combines spyware, stealer, and prankware features An AI gateway designed to steal your data Coruna: the framework used in Operation Triangulation Anatomy of a Cyber World Global Report 2026 The SOC Files: Time to “Sapecar”. Unpacking a new Horabot campaign in Mexico Free real estate: GoPix, the banking Trojan living off your memory BeatBanker: A dual‑mode Android Trojan Exploits and vulnerabilities in Q4 2025
IT threat evolution in Q1 2026. Mobile statistics
Anton Kivva · 2026-05-18 · via Securelist

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.