USENIX Security2025Top-tier venue
LLFuzz: An Over-the-Air Dynamic Testing Framework for Cellular Baseband Lower Layers
Tuan Dinh Hoang, Taekkyung Oh, CheolJun Park, Insu Yun, Yongdae Kim
Abstract
Memory corruptions in cellular basebands are critical because they can be remotely exploited over-the-air, resulting in severe consequences such as remote code execution, denial of service, and information leakage. While previous research has made significant contributions to detecting memory corruptions in basebands, particularly in layer 3 protocols (e.g., NAS and RRC), the lower layers have received comparatively less attention, with only a few works exploring them in a limited and non-systematic manner.
In this paper, we present Lower-Layer Fuzzer (LLFUZZ), a novel over-the-air dynamic testing framework that discovers memory corruptions in baseband lower layers. LLFUZZ systematically targets lower layers, which are the PDCP, RLC, MAC, and PHY layers of the cellular stack. Testing these layers presents unique challenges due to their multiple channels and packet structures that can be dynamically configurable. To address these complexities, LLFUZZ implements a channel-driven, configuration-aware fuzzing approach to systematically explore multiple channels. During the testing process, LLFUZZ actively modifies layer-specific configurations through signaling messages to trigger and test diverse packet structures, particularly those rarely used in commercial networks. Moreover, LLFUZZ leverages 3GPP specifications to generate test cases tailored to the packet structures of the lower layers. This ensures that the test cases are syntactically valid and capable of reaching the target layers without being prematurely discarded. In our evaluation of 15 commercial basebands from five major vendors, LLFUZZ uncovered nine previously unknown memory corruptions: two in PDCP, two in RLC, and five in MAC layers. These findings demonstrate LLFUZZ's effectiveness in finding critical memory corruptions in baseband lower layers.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b6ade7dc-cd21-42da-91b1-acf2155ed6eaCited by top-tier papers1
Ask how each one uses itBuilds on17
- Breaking LTE on Layer TwoDavid Rupprecht, Katharina Kohls, Thorsten Holz, Christina PöpperS&P 2019 · 219 citations
- What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded DevicesMarius Muench, Jan Stijohann, Frank Kargl, Aurélien Francillon et al.NDSS 2018 · 202 citations
- Touching the Untouchables: Dynamic Security Analysis of the LTE Control PlaneHongil Kim, Jiho Lee, Eunkyu Lee, Yongdae KimS&P 2019 · 174 citations
- Privacy Attacks to the 4G and 5G Cellular Paging Protocols Using Side Channel InformationSyed Rafiul Hussain, Mitziu Echeverria, Omar Chowdhury, Ninghui Li et al.NDSS 2019 · 160 citations
- Hiding in Plain Signal: Physical Signal Overshadowing Attack on LTEHojoon Yang, Sangwook Bae, Mincheol Son, Hongil Kim et al.USENIX Security 2019 · 127 citations
Related papers
- Stateful Analysis and Fuzzing of Commercial Baseband FirmwareAli Ranjbar, Tianchang Yang, Kai Tu, Saaman Khalilollahi et al.S&P 2025
- BaseSpec: Comparative Analysis of Baseband Software and Cellular Specifications for L3 ProtocolsEunsoo Kim, Dongkwan Kim, CheolJun Park, Insu Yun et al.NDSS 2021
- BaseBridge: Bridging the Gap Between Over-the-Air and Emulation Testing for Cellular Baseband FirmwareDaniel Klischies, Dyon Goos, David Hirsch, Alyssa Milburn et al.S&P 2025
- FirmWire: Transparent Dynamic Analysis for Cellular Baseband FirmwareGrant Hernandez, Marius Muench, Dominik Christian Maier, Alyssa Milburn et al.NDSS 2022
- RANsacked: A Domain-Informed Approach for Fuzzing LTE and 5G RAN-Core InterfacesNathaniel Bennett, Weidong Zhu, Benjamin Simon, Ryon Kennedy et al.CCS 2024 · 9 citations
