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Main Authors: Luo, Weidi, Zhang, Qiming, Lu, Tianyu, Liu, Xiaogeng, Hu, Bin, Chiu, Hung-Chun, Ma, Siyuan, Zhang, Yizhe, Xiao, Xusheng, Cao, Yinzhi, Xiang, Zhen, Xiao, Chaowei
Format: Preprint
Udgivet: 2025
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Online adgang:https://arxiv.org/abs/2510.06607
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author Luo, Weidi
Zhang, Qiming
Lu, Tianyu
Liu, Xiaogeng
Hu, Bin
Chiu, Hung-Chun
Ma, Siyuan
Zhang, Yizhe
Xiao, Xusheng
Cao, Yinzhi
Xiang, Zhen
Xiao, Chaowei
author_facet Luo, Weidi
Zhang, Qiming
Lu, Tianyu
Liu, Xiaogeng
Hu, Bin
Chiu, Hung-Chun
Ma, Siyuan
Zhang, Yizhe
Xiao, Xusheng
Cao, Yinzhi
Xiang, Zhen
Xiao, Chaowei
contents Computer-use agent (CUA) frameworks, powered by large language models (LLMs) or multimodal LLMs (MLLMs), are rapidly maturing as assistants that can perceive context, reason, and act directly within software environments. Among their most critical applications is operating system (OS) control. As CUAs in the OS domain become increasingly embedded in daily operations, it is imperative to examine their real-world security implications, specifically whether CUAs can be misused to perform realistic, security-relevant attacks. Existing works exhibit four major limitations: Missing attacker-knowledge model on tactics, techniques, and procedures (TTP), Incomplete coverage for end-to-end kill chains, unrealistic environment without multi-host and encrypted user credentials, and unreliable judgment dependent on LLM-as-a-Judge. To address these gaps, we propose AdvCUA, the first benchmark aligned with real-world TTPs in MITRE ATT&CK Enterprise Matrix, which comprises 140 tasks, including 40 direct malicious tasks, 74 TTP-based malicious tasks, and 26 end-to-end kill chains, systematically evaluates CUAs under a realistic enterprise OS security threat in a multi-host environment sandbox by hard-coded evaluation. We evaluate the existing five mainstream CUAs, including ReAct, AutoGPT, Gemini CLI, Cursor CLI, and Cursor IDE based on 8 foundation LLMs. The results demonstrate that current frontier CUAs do not adequately cover OS security-centric threats. These capabilities of CUAs reduce dependence on custom malware and deep domain expertise, enabling even inexperienced attackers to mount complex enterprise intrusions, which raises social concern about the responsibility and security of CUAs.
format Preprint
id arxiv_https___arxiv_org_abs_2510_06607
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Code Agent can be an End-to-end System Hacker: Benchmarking Real-world Threats of Computer-use Agent
Luo, Weidi
Zhang, Qiming
Lu, Tianyu
Liu, Xiaogeng
Hu, Bin
Chiu, Hung-Chun
Ma, Siyuan
Zhang, Yizhe
Xiao, Xusheng
Cao, Yinzhi
Xiang, Zhen
Xiao, Chaowei
Cryptography and Security
Computer-use agent (CUA) frameworks, powered by large language models (LLMs) or multimodal LLMs (MLLMs), are rapidly maturing as assistants that can perceive context, reason, and act directly within software environments. Among their most critical applications is operating system (OS) control. As CUAs in the OS domain become increasingly embedded in daily operations, it is imperative to examine their real-world security implications, specifically whether CUAs can be misused to perform realistic, security-relevant attacks. Existing works exhibit four major limitations: Missing attacker-knowledge model on tactics, techniques, and procedures (TTP), Incomplete coverage for end-to-end kill chains, unrealistic environment without multi-host and encrypted user credentials, and unreliable judgment dependent on LLM-as-a-Judge. To address these gaps, we propose AdvCUA, the first benchmark aligned with real-world TTPs in MITRE ATT&CK Enterprise Matrix, which comprises 140 tasks, including 40 direct malicious tasks, 74 TTP-based malicious tasks, and 26 end-to-end kill chains, systematically evaluates CUAs under a realistic enterprise OS security threat in a multi-host environment sandbox by hard-coded evaluation. We evaluate the existing five mainstream CUAs, including ReAct, AutoGPT, Gemini CLI, Cursor CLI, and Cursor IDE based on 8 foundation LLMs. The results demonstrate that current frontier CUAs do not adequately cover OS security-centric threats. These capabilities of CUAs reduce dependence on custom malware and deep domain expertise, enabling even inexperienced attackers to mount complex enterprise intrusions, which raises social concern about the responsibility and security of CUAs.
title Code Agent can be an End-to-end System Hacker: Benchmarking Real-world Threats of Computer-use Agent
topic Cryptography and Security
url https://arxiv.org/abs/2510.06607