arXiv:2609.08280cs.ROcs.CR2026-09

攻击者可伪造机器人传感数据,骗过远程验证系统

Seeing is Not Believing: Breaking the Physical-to-Digital Trust Boundary in Robotics

论文配图:Seeing is Not Believing: Breaking the Physical-to-Digital Trust Boundary in Robotics
图 1 · 摘自论文原文
  • 篡改ROS 2环境变量,植入钩子劫持传感器与控制信号
  • 实时注入伪造数据,延迟仅3毫秒,成功率87%
  • 适合研究机器人安全、系统信任机制的学者与工程师

多机器人协作中,任务交接依赖下游验证器通过传感器遥测数据确认机器人行为是否符合任务要求。但这些遥测数据可信吗?本文揭示了ROS 2存在严重漏洞:仅需修改一个环境变量,攻击者即可执行预置钩子,于数据发布前拦截并注入伪造的遥测与控制信号。攻击者可劫持机器人执行危险任务,同时以合成数据欺骗验证系统。更严重的是,利用广泛依赖的第三方Docker容器和辅助工具,恶意包可被轻易分发,实现大规模攻击。在运行Secure ROS 2的Franka Emika机械臂上,攻击实现实时伪造遥测,抖动约3毫秒,保持时间同步与硬件完整性,即使面对基于AI的检测器仍达到87%成功率。相关发现已负责任地披露给ROS 2开发团队。演示视频见https://youtu.be/ExeiGqUrnhQ。

原文摘要 · Abstract (English)

In multi-robot collaboration, task handovers rely on downstream verifiers performing remote attestation, which inspects sensor telemetry to ensure a robot's physical behavior strictly matches its assigned task. But can this telemetry be trusted? We show that it often cannot. In this paper, we uncover a severe vulnerability in Robot Operating System (ROS) 2: by modifying a single environment variable, an adversary can execute a pre-built hook to covertly intercept and inject both telemetry and control signals before they are published. Consequently, adversaries can hijack a robot to perform dangerous tasks while spoofing downstream verifiers with synthesized fake telemetry. Worse still, by exploiting the widespread reliance on third-party Docker containers and auxiliary tools, attackers can distribute compromised packages embedded with these malicious hooks to launch such attacks easily. On a physical Franka Emika robotic arm running Secure ROS 2, our attack injects fabricated telemetry in real time with only around 3 ms of jitter, preserving temporal synchronization and hardware integrity while achieving an 87% success rate even against an AI-based detector. We have responsibly disclosed these findings to the ROS 2 development team. We prepared a demo video available at https://youtu.be/ExeiGqUrnhQ.

机器人安全ROS 2遥测欺骗

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