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Schedule

Der Hub wird spätestens Ende Januar archiviert, alle nutzerbezogenen Inhalte, Boards und auch einige Wiki-Seiten werden dabei entfernt. Alle öffentlichen Assemblies, Projekte und Veranstaltungen bleiben. // The hub will be archived by end of January. All user-provided content, boards and several wiki pages will be deleted. All public assemblies, projects and events will remain.
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Day 2
10:00

10:30

11:00

11:30

12:00

12:30

13:00

13:30

14:00

14:30

15:00

15:30

16:00

16:30
Protecting the network data of one billion people: Breaking network crypto in popular Chinese mobile apps (en)

Mona

In this talk, I will describe how my team and I systematically exploited around a dozen home-rolled network encryption protocols used by popular mobile apps like RedNote, Alipay, and some of the most popular mobile browsers in China to encrypt sensitive information. I'll demonstrate how network eavesdroppers could access users' browsing history and mobile activity. This is a systemic issue; despite our work on the above protocols and the resulting vulnerability disclosures, this plague of home-rolled and proprietary encryption is still at large. I will end by discussing how we got here, re-affirm the age-old adage, “Don’t roll your own crypto!”, and call on hackers around the world to help us move towards HTTPS everywhere.

Skynet Starter Kit: From Embodied AI Jailbreak to Remote Takeover of Humanoid Robots (en)

Shipei Qu, Zikai Xu, Xuangan Xiao

We present a comprehensive security assessment of Unitree's robotic ecosystem. We identified and exploited multiple security flaws across multiple communication channels, including Bluetooth, LoRa radio, WebRTC, and cloud management services. Besides pwning multiple traditional binary or web vulnerabilities, we also exploit the embodied AI agent in the robots, performing prompt injection and achieve root-level remote code execution. Furthermore, we leverage a flaw in cloud management services to take over any Unitree G1 robot connected to the Internet. By deobfuscating and patching the customized, VM-based obfuscated binaries, we successfully unlocked forbidden robotic movements restricted by the vendor firmware on consumer models such as the G1 AIR. We hope our findings could offer a roadmap for manufacturers to strengthen robotic designs, while arming researchers and consumers with critical knowledge to assess security in next-generation robotic systems.