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arXiv cs.CL· Ziyi Yang, Adel Bibi, Guohao Li, Bernard Ghanem, Carlos Hinojosa·· 6 天前AI 评分44

APEX-Harm:评估共享专业工作空间中的智能体安全性

APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces

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研究者推出 APEX-Harm 基准,用于评估长时程智能体在包含 115 至 328 个文件的大型工作空间中执行金融、咨询和法律任务时,面对提示词与脚本注入攻击的安全性。

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Abstract:Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and business applications. These environments create safety risks that are difficult to capture with attacks placed at a single, known read location. We introduce APEX-Harm, a benchmark for evaluating prompt and script injection against long-horizon agents performing finance, consulting, and legal tasks in large workspaces. Each task contains 115 to 328 files, together with email, calendar, chat, document, spreadsheet, PDF, and code-execution tools exposed through MCP servers. The benchmark includes six attack categories covering static and dynamic injections, task-specific script replacement, and attacker-provided generic scripts, and evaluates attack success, exposure, and task performance. We evaluate 12 frontier models on 180 task instances per model. Opus 5 and Sonnet 5 have the lowest overall attack success rates (8% and 20%), while task-specific script replacement and attacker-provided generic script attacks remain substantially more effective, averaging 81-84% and 73% attack success, respectively. Gemini 3.8 Flash achieves the highest mean task score (0.877) while still exhibiting a 33% attack success rate. These results show that completing the requested task is not sufficient evidence of safe behavior: an agent can produce a correct deliverable while also performing an unauthorized action in the workspace.
Subjects: Cryptography and Security (cs.CR); Computation and Language (cs.CL)
Cite as: arXiv:2610.13623 [cs.CR]
  (or arXiv:2610.13623v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2610.13623

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Ziyi Yang [view email]
[v1] Fri, 9 Oct 2026 14:05:47 UTC (1,257 KB)

来源:arXiv cs.CL · arxiv.org