Covert BLE Data Exfiltration via Apple's Find My Network: A Malware Prototype and Defense Strategies

This paper investigates a novel data exfiltration technique that abuses the Apple Find My network. The attack encodes sensitive information, such as credentials or credit card numbers, into BLE advertisements, which are then opportunistically relayed by nearby Apple devices to iCloud infrastructure. Unlike conventional methods, this approach bypasses IP-based communication and internet access, making it highly stealthy and difficult to trace. The prototype demonstrates end-to-end exfiltration from a compromised system using the SendMy framework, showcasing how attackers can abuse trusted hardware and infrastructure for wireless data leakage. We discuss the scalability, stealth and limitations of the attack and propose directions for future detection and mitigation strategies.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/eurospw67616.2025.00073
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

Covert BLE Data Exfiltration via Apple's Find My Network: A Malware Prototype and Defense Strategies

Alessandro Cantelli‐Forti, Hosam Alamleh
Advanced Malware Detection Techniques
article

Covert BLE Data Exfiltration via Apple's Find My Network: A Malware Prototype and Defense Strategies

Alessandro Cantelli‐Forti, Hosam Alamleh
article en

Abstract

This paper investigates a novel data exfiltration technique that abuses the Apple Find My network. The attack encodes sensitive information, such as credentials or credit card numbers, into BLE advertisements, which are then opportunistically relayed by nearby Apple devices to iCloud infrastructure. Unlike conventional methods, this approach bypasses IP-based communication and internet access, making it highly stealthy and difficult to trace. The prototype demonstrates end-to-end exfiltration from a compromised system using the SendMy framework, showcasing how attackers can abuse trusted hardware and infrastructure for wireless data leakage. We discuss the scalability, stealth and limitations of the attack and propose directions for future detection and mitigation strategies.

University of North Carolina Wilmington (US), Consorzio Nazionale Interuniversitario per le Telecomunicazioni (IT)
Openalex Percentile: Top 72%
Advanced Malware Detection Techniques
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Covert BLE Data Exfiltration via Apple's Find My Network: A Malware Prototype and Defense Strategies — Alessandro Cantelli‐Forti, Hosam Alamleh · (2025) | TGRS Research Map | TGRS