Kimsuky Spreads DocSwap Android Malware via QR Phishing Posing as Delivery App

The North Korean threat actor known as Kimsuky has been linked to a new campaign that distributes a new variant of Android malware called DocSwap via QR codes hosted on phishing sites mimicking Seoul-based logistics firm CJ Logistics formerly CJ Korea Express. "The threat actor leveraged QR codes...

New ‘DroidLock’ Android Malware Locks Users Out, Spies via Front Camera

Zimperium zLabs reveals DroidLock, a new Android malware acting like ransomware that can hijack Android devices, steal credentials via phishing, and stream your screen via VNC...

Android Malware FvncBot, SeedSnatcher, and ClayRat Gain Stronger Data Theft Features

Cybersecurity researchers have disclosed details of two new Android malware families dubbed FvncBot and SeedSnatcher , as another upgraded version of ClayRat has been spotted in the wild. The findings come from Intel 471, CYFIRMA, and Zimperium, respectively. FvncBot, which masquerades as a...

Newly Sold Albiriox Android Malware Targets Banks and Crypto Holders

Cleafy analysis reveals Albiriox, a new Android Malware-as-a-Service MaaS RAT that targets over 400 global banking and crypto apps. Learn how ODF fraud enables full device takeover...

GoldFactory Hits Southeast Asia with Modified Banking Apps Driving 11,000+ Infections

Cybercriminals associated with a financially motivated group known as GoldFactory have been observed staging a fresh round of attacks targeting mobile users in Indonesia, Thailand, and Vietnam by impersonating government services. The activity, observed since October 2024, involves distributing...

New Android malware lets criminals control your phone and drain your bank account

Albiriox is a new family of Android banking malware that gives attackers live remote control over infected phones, letting them quietly drain bank and crypto accounts during real sessions. Researchers have analyzed a new Android malware family called Albiriox which is showing signs of developing...

New Albiriox MaaS Malware Targets 400+ Apps for On-Device Fraud and Screen Control

A new Android malware named Albiriox has been advertised under a malware-as-a-service MaaS model to offer a "full spectrum" of features to facilitate on-device fraud ODF, screen manipulation, and real-time interaction with infected devices. The malware embeds a hard-coded list comprising over 400...

Synthetic Data: AI'S New Weapon against Android Malware

The ever-increasing number of Android devices and the accelerated evolution of malware, reaching over 35 million samples by 2024, highlight the critical importance of effective detection methods. Attackers are now using Artificial Intelligence to create sophisticated malware variations that can...

New Sturnus Android Malware Reads WhatsApp, Telegram, Signal Chats via Accessibility Abuse

Sturnus, an advanced Android banking trojan, has been discovered by ThreatFabric. Learn how this malware bypasses end-to-end encryption on Signal and WhatsApp, steals bank credentials using fake screens, and executes fraudulent transactions...

Android malware steals your card details and PIN to make instant ATM withdrawals

The Polish Computer Emergency Response Team CERT Polska analyzed a new Android-based malware that uses NFC technology to perform unauthorized ATM cash withdrawals and drain victims' bank accounts. Researchers found that the malware, called NGate, lets attackers withdraw cash from ATMs Automated...

“Sneaky” new Android malware takes over your phone, hiding in fake news and ID apps

Researchers at Cyfirma have investigated Android Trojans capable of stealing sensitive data from compromised devices. The malware spreads by pretending to be trusted apps—like a news reader or even digital ID apps—tricking users into downloading it by accident. In reality, it’s Android-targeting...

Android Malware Detection: A Machine Learning Approach

This study examines machine learning techniques like Decision Trees, Support Vector Machines, Logistic Regression, Neural Networks, and ensemble methods to detect Android malware. The study evaluates these models on a dataset of Android applications and analyzes their accuracy, efficiency, and...

MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research

We present MH-1M, one of the most comprehensive and up-to-date datasets for advanced Android malware research. The dataset comprises 1,340,515 applications, encompassing a wide range of features and extensive metadata. To ensure accurate malware classification, we employ the VirusTotal API,...

An In-Depth Analysis of Cyber Attacks in Secured Platforms

There is an increase in global malware threats. To address this, an encryption-type ransomware has been introduced on the Android operating system. The challenges associated with malicious threats in phone use have become a pressing issue in mobile communication, disrupting user experiences and...

APThreatHunter: An Automated Planning-Based Threat Hunting Framework

Cyber attacks threaten economic interests, critical infrastructure, and public health and safety. To counter this, entities adopt cyber threat hunting, a proactive approach that involves formulating hypotheses and searching for attack patterns within organisational networks. Automating cyber thre...

New HyperRat Android Malware Sold as Ready-Made Spy Tool

Researchers have uncovered HyperRat, a new Android malware sold as a service, giving attackers remote control, data theft tools, and mass phishing features...

Baohuo Android Malware Hijacks Telegram Accounts via Fake Telegram X

New Android malware Baohuo hijacks Telegram X accounts, stealing data and controlling chats. Over 58,000 devices infected, mainly in India and Brazil...

ThreatIntel-Andro: Expert-Verified Benchmarking for Robust Android Malware Research

The rapidly evolving Android malware ecosystem demands high-quality, real-time datasets as a foundation for effective detection and defense. With the widespread adoption of mobile devices across industrial systems, they have become a critical yet often overlooked attack surface in industrial...

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection

Over the last decade, machine learning has been extensively applied to identify malicious Android applications. However, such approaches remain vulnerable against adversarial examples, i.e., examples that are subtly manipulated to fool a machine learning model into making incorrect predictions...

Fake VPN and streaming app drops malware that drains your bank account

Security researchers are warning Android users to delete a fake VPN and streaming app that can let criminals take over their phones and drain their bank accounts. The app, Mobdro Pro IP TV + VPN, was discovered by researchers at Cleafy to be a malicious sideloaded app, not a legitimate VPN. Their...