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paper reviewed open access llmsec-2024-00013

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated LLM Agents

Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang

2024-03 — ACL 2024 Findings 65 citations

Abstract

Presents InjecAgent, a benchmark for evaluating indirect prompt injection attacks against LLM agents that use tools, showing most agents are highly vulnerable.

Categories

Tags

benchmarktool-useindirect-injection

Framework Mappings

OWASP LLM: LLM01 OWASP LLM: LLM06 OWASP Agentic: AGT02 OWASP Agentic: AGT03

Cite This Resource

@article{llmsec202400013,
  title = {InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated LLM Agents},
  author = {Qiusi Zhan and Zhixiang Liang and Zifan Ying and Daniel Kang},
  year = {2024},
  journal = {ACL 2024 Findings},
  url = {https://arxiv.org/abs/2403.02691},
}

Metadata

Added
2026-04-14
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manual
Source
manual
arxiv_id
2403.02691