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The Hacker News
The Hacker News
•added 2026/02/19 10:24 a.m.•22 views

Fake IPTV Apps Spread Massiv Android Malware Targeting Mobile Banking Users

Cybersecurity researchers have disclosed details of a new Android trojan called Massiv that's designed to facilitate device takeover DTO attacks for financial theft. The malware, according to ThreatFabric, masquerades as seemingly harmless IPTV apps to deceive victims, indicating that the activit...

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Packet Storm News
Packet Storm News
•added 2026/02/09 12:00 a.m.•16 views

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

Malware, malicious software designed to damage computer systems and perpetrate scams, is proliferating at an alarming rate, with thousands of new threats emerging daily. Android devices, prevalent in smartphones, smartwatches, tablets, and IoTs, represent a vast attack surface, making malware...

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HackRead
HackRead
•added 2026/01/30 3:24 p.m.•19 views

Arsink Spyware Posing as WhatsApp, YouTube, Instagram, TikTok Hits 143 Countries

Another day, another Android malware campaign targeting unsuspecting users worldwide by masquerading as popular apps...

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Packet Storm News
Packet Storm News
•added 2026/01/14 12:00 a.m.•11 views

Malware Classification Using Diluted Convolutional Neural Network with Fast Gradient Sign Method

Android malware has become an increasingly critical threat to organizations, society and individuals, posing significant risks to privacy, data security and infrastructure. As malware continues to evolve in terms of complexity and sophistication, the mitigation and detection of these malicious...

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Packet Storm News
Packet Storm News
•added 2026/01/13 12:00 a.m.•15 views

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware

As zero-day Android malware attacks grow more sophisticated, recent research highlights the effectiveness of using image-based representations of malware bytecode to detect previously unseen threats. However, existing studies often overlook how image type and resolution affect detection and ignor...

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Packet Storm News
Packet Storm News
•added 2025/12/24 12:00 a.m.•44 views

LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors

The rapid growth in both the scale and complexity of Android malware has driven the widespread adoption of machine learning ML techniques for scalable and accurate malware detection. Despite their effectiveness, these models remain vulnerable to adversarial attacks that introduce carefully crafte...

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HackRead
HackRead
•added 2025/12/22 4:14 p.m.•20 views

Frogblight Malware Targets Android Users With Fake Court and Aid Apps

Kaspersky warns of 'Frogblight,' a new Android malware draining bank accounts in Turkiye. Learn how this 'court case' scam steals your data and how to stay safe...

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Packet Storm News
Packet Storm News
•added 2025/12/22 12:00 a.m.•15 views

IoT-Based Android Malware Detection Using Graph Neural Network with Adversarial Defense

Since the Internet of Things IoT is widely adopted using Android applications, detecting malicious Android apps is essential. In recent years, Android graph-based deep learning research has proposed many approaches to extract relationships from applications as graphs to generate graph embeddings...

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The Hacker News
The Hacker News
•added 2025/12/18 7:43 a.m.•67 views

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...

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HackRead
HackRead
•added 2025/12/11 2:37 p.m.•20 views

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...

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The Hacker News
The Hacker News
•added 2025/12/08 11:00 a.m.•11 views

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...

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HackRead
HackRead
•added 2025/12/04 12:34 p.m.•16 views

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...

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The Hacker News
The Hacker News
•added 2025/12/04 9:27 a.m.•18 views

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...

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Malwarebytes
Malwarebytes
•added 2025/12/01 3:33 p.m.•27 views

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...

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The Hacker News
The Hacker News
•added 2025/12/01 8:45 a.m.•11 views

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...

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Packet Storm News
Packet Storm News
•added 2025/11/24 12:00 a.m.•16 views

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...

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HackRead
HackRead
•added 2025/11/21 4:52 p.m.•26 views

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...

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Malwarebytes
Malwarebytes
•added 2025/11/06 4:48 p.m.•15 views

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...

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Malwarebytes
Malwarebytes
•added 2025/11/04 12:51 p.m.•26 views

“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...

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Packet Storm News
Packet Storm News
•added 2025/11/02 12:00 a.m.•16 views

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...

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