Hackers Exploit NFC in New Android Payment Fraud Scheme

Article Highlights
Off On

Hackers are exploiting near-field communication (NFC) technology to commit instant payment fraud through the Chinese-speaking Android malware-as-a-service platform, SuperCard X. This malware enables real-time theft by using NFC to capture payment card data and make fraudulent transactions at point of sale (PoS) terminals and ATMs.

Unlike older methods such as overlay attacks or SMS interception, SuperCard X uses contactless functionalities in modern payment cards. Infected Android devices become NFC relay stations, simplifying the fraud process. Users of SuperCard X access “Reader” and “Tapper” applications via Telegram channels, making NFC relay fraud easily accessible without complex tool development.

The attack starts with spoofed messages from banks urging victims to call a number. Scammers then pose as bank agents, instructing victims to install the SuperCard X Reader app disguised as security software. This app requires minimal NFC permissions and standard system permissions, avoiding detection by security software.

When victims tap their card against the infected device, the Reader app captures NFC-transmitted card data. This data, including Answer To Reset (ATR) messages, is sent in real-time to the attackers. The Tapper app on another device uses the relayed ATRs to emulate the victim’s card, allowing for transactions at contactless PoS terminals and ATMs. Fraudulent withdrawals increase after convincing victims to lift spending limits. SuperCard X is distinct from other Android banking Trojans, focusing on NFC relay with minimal permissions, evading most antivirus engines. An analysis by Cleafy found extensive code reuse from open-source projects, indicating quick development and easy onboarding for affiliates.

In an Italian campaign, Cleafy noted customizations like tailored APK repackaging and pre-generated login credentials, streamlining the attack. SuperCard X highlights advanced social engineering and strategic minimalism in permissions, challenging current cybersecurity defenses with its covert and effective methods.

Explore more

What Businesses Need to Know About Customer Identity Verification

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of