BaseBridge: Bridging the Gap Between Over-the-Air and Emulation Testing for Cellular Baseband Firmware
Daniel Klischies, Dyon Goos, David Hirsch, Alyssa Milburn, Marius Muench, Veelasha Moonsamy
Abstract
Current approaches for emulating cellular base-bands inherently fall short in comparison to over-the-air testing due to their limited support for the complex peripherals involved in a modern baseband, such as DSPs, SIM cards and RF frontends. Improving such support is a daunting task, requiring deep reverse-engineering which is extremely time consuming - resulting in slow progress. Consequently, techniques such as fuzzing are only able to find relatively shallow bugs, since they are unable to reach the states required for the majority of the baseband to function. To fill this gap, we propose Basebridge, which enables far more comprehensive simulation of baseband behavior by restoring relevant state from memory dumps of real devices. Our prototype implementation supports baseband firmware from two major vendors (MediaTek and Samsung), and - in contrast to current state-of-the-art emulators - correctly responds to 97% of tested RRC and NAS messages while improving coverage by an average factor of 2.41 (Samsung) and 5.54 (MediaTek). Basebridge also passes several LTE conformance tests. Our empirical evaluation demonstrates that this enhanced fidelity enables faster discovery of a wider range of bugs thanks to the scalability of emulation; our fuzzing campaign shows that coverage improves by a factor of 2.3-5x overall, and by a factor of 9.0-22.5x for functionality targeted by our approach. Basebridge unveiled 5 new vulnerabilities, which we have disclosed to affected vendors.
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 f588a448-51ea-48ab-a45d-d40eafcf6aefCited by top-tier papers1
Ask how each one uses itBuilds on16
- LTEInspector: A Systematic Approach for Adversarial Testing of 4G LTESyed Rafiul Hussain, Omar Chowdhury, Shagufta Mehnaz, Elisa BertinoNDSS 2018 · 225 citations
- 5GReasoner: A Property-Directed Security and Privacy Analysis Framework for 5G Cellular Network ProtocolSyed Rafiul Hussain, Mitziu Echeverria, Imtiaz Karim, Omar Chowdhury et al.CCS 2019 · 188 citations
- Touching the Untouchables: Dynamic Security Analysis of the LTE Control PlaneHongil Kim, Jiho Lee, Eunkyu Lee, Yongdae KimS&P 2019 · 174 citations
- Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation AnalysisYi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu et al.S&P 2021 · 57 citations
- Noncompliance as Deviant Behavior: An Automated Black-box Noncompliance Checker for 4G LTE Cellular DevicesSyed Rafiul Hussain, Imtiaz Karim, Abdullah Al Ishtiaq, Omar Chowdhury et al.CCS 2021 · 41 citations
Related papers
- BASECOMP: A Comparative Analysis for Integrity Protection in Cellular Baseband SoftwareEunsoo Kim, Minwoo Baek, CheolJun Park, Dongkwan Kim et al.USENIX Security 2023
- Stateful Analysis and Fuzzing of Commercial Baseband FirmwareAli Ranjbar, Tianchang Yang, Kai Tu, Saaman Khalilollahi 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
- BaseSpec: Comparative Analysis of Baseband Software and Cellular Specifications for L3 ProtocolsEunsoo Kim, Dongkwan Kim, CheolJun Park, Insu Yun et al.NDSS 2021
- BaseMirror: Automatic Reverse Engineering of Baseband Commands from Android's Radio Interface LayerWenqiang Li, Haohuang Wen, Zhiqiang LinCCS 2024 · 1 citation
