New Threats to SMS-Assisted Mobile Internet Services from 4G LTE: Lessons Learnt from Distributed Mobile-Initiated Attacks towards Facebook and Other Services
Guan-Hua Tu, Yuanjie Li, Chunyi Peng, Chi-Yu Li, Muhammad Taqi Raza,, Hsiao-Yun Tseng, Songwu Lu

TL;DR
This paper reveals new vulnerabilities in 4G LTE's SMS service that enable distributed spoofing attacks, compromising mobile services like Facebook, and proposes immediate security fixes based on empirical validation.
Contribution
It identifies and demonstrates novel distributed SMS spoofing attacks in 4G LTE networks, highlighting security gaps not present in earlier cellular systems.
Findings
53 of 64 mobile services are vulnerable to spoofing attacks
Proof-of-concept attacks validated on a major US carrier with 100 million users
Proposed quick fixes to mitigate these new threats
Abstract
Mobile Internet is becoming the norm. With more personalized mobile devices in hand, many services choose to offer alternative, usually more convenient, approaches to authenticating and delivering the content between mobile users and service providers. One main option is to use SMS (i.e., short messaging service). Such carrier-grade text service has been widely used to assist versatile mobile services, including social networking, banking, to name a few. Though the text service can be spoofed via certain Internet text service providers which cooperated with carriers, such attacks haven well studied and defended by industry due to the efforts of research community. However, as cellular network technology advances to the latest IP-based 4G LTE, we find that these mobile services are somehow exposed to new threats raised by this change, particularly on 4G LTE Text service (via brand-new…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Malware Detection Techniques · Spam and Phishing Detection · User Authentication and Security Systems
