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Oct 12 · Monday

All papers

Found 11 papers

Filter5

Attack type

Attack technique

Gradient and representation optimization5 Automated search23 Encoding and obfuscation6 Cross-modal payloads4 Defense-targeted5 Dormant triggers8

Impact

Unauthorized actions6

System type

AI Agent10 web agent4

Attack surface / entry point

User input9 Web pages and interfaces6 Documents and messages6 Tool responses5 Tool and skill descriptions5 Retrieval corpus7 Memory writes3 Inter-agent messages3 Images, audio and video8 Distribution channels5

Layer

Application layer11

System component

MCP and skills3 Vision4 Multimodal4

Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 262papers have no tags yet and are not included in filtered results.

Attack technique：Gradient and representation optimization Attack technique：Encoding and obfuscation Attack surface / entry point：Web pages and interfaces Attack surface / entry point：Tool responses Layer：Application layer Clear all

Another 262papers do not have category tags yet and are not included in filtered results.

AttacksarXiv 2610.12524Oct 8
An exploration of attacks on AI agent systems
重测并扩展对 AI Agent 的提示注入，并用 Agent Card 欺骗操纵 A2A 选择
arXiv
2610.12524
Published
Oct 8
Layer
Application layer
Setting
AI Agent
Evaluated models
Ollama Mistral 0.9.5, llama3-8b-8192, gemini-2.0-flash-lite and others5
- AttacksPrompt injection
- TechniqueEncoding and obfuscation
- ComponentMCP and skills
Abstract单智能体过滤与分类可被格式或措辞绕过，A2A 选卡还会偏向名称和描述。
作者在自建的 LangChain、AutoGen 和 A2A 系统上重测提示注入，并改 Agent Card 看选择是否偏移。摘要称试验主要凸显单智能体弱点，同时把攻击扩到多智能体。
Paper analysisRead analysis
AttacksarXiv 2610.09973Oct 7
从期望危害到似然：LLM 智能体越狱的概率重构
提出 OPUR 攻击，用似然梯度优化对抗后缀越狱 LLM 智能体
arXiv
2610.09973
Published
Oct 7
Layer
Application layer
Setting
AI Agent
Attacker
White-box
Evaluated models
Llama-3.1-8B-Instruct, Ministral-8B-Instruct-2410
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Paper analysisRead analysis
AttacksarXiv 2610.09240Oct 7
WebMirage hijacks visual web agents' browser operations with adversarial images
提出 WebMirage，用局部对抗图像劫持视觉网页 Agent 的浏览器操作
arXiv
2610.09240
Published
Oct 7
Layer
Application layer
Setting
web agent
Evaluated models
LLaVA-v1.5-13B, LLaVA-v1.6-34B, MiniCPM-o-8B and others6
- AttacksPrompt injection
- TechniqueGradient and representation optimization
- ComponentVision
Abstract论文提出了针对网络智能体的端到端视觉红队框架 WebMirage，揭示了从视觉定位到浏览器执行的安全脆弱性。
WebMirage 是一个面向视觉定位网络智能体的流水线感知端到端红队攻击框架。
Paper analysisRead analysis
AttacksarXiv 2609.36576Sep 29
AdaLCPI：让 Agent 从长上下文碎片中重建间接提示注入
提出 AdaLCPI，把恶意指令拆成碎片嵌入工具返回并诱导 Agent 越权执行
arXiv
2609.36576
Published
Sep 29
Layer
Application layer
Setting
AI Agent
Evaluated models
GPT-4.1, GPT-5.1, GPT-5.6-Luna and others7
- AttacksPrompt injection
- TechniqueEncoding and obfuscation
Paper analysisRead analysis
AttacksarXiv 2609.18217Sep 16
研究：跨通道碎片化攻击可绕过 MCP 单通道防御
提出跨通道分段攻击，利用 MCP 隐式信任外发敏感文件
arXiv
2609.18217
Published
Sep 16
Layer
Application layer
Setting
coding agent
Evaluated models
GPT-4o, GPT-4o-mini, GPT-5.4 and others15
- AttacksPrompt injection
- TechniqueEncoding and obfuscation
- ComponentMCP and skills
Abstract论文揭示了 MCP 多通道隐式信任层级，通过跨通道分段与协议级利用突破现有防御，展示了严重的凭证外发风险。
Paper analysisRead analysis
AttacksarXiv 2606.21732Jun 20
研究者提出 relinking 漏洞：LLM Agent 压缩边界可被拼出恶意指令
提出 Relink 攻击，在 Agent 压缩边界将分散良性片段重组为恶意指令
arXiv
2606.21732
Published
Jun 20
Layer
Application layer
Setting
AI Agent
Evaluated models
Gemma-4-31B-it, GPT-OSS-20B, Qwen3.6-27B and others15
- AttacksPrompt injection
- TechniqueEncoding and obfuscation
Abstract论文指出提示词压缩引入重链漏洞，提出 RELINK 攻击工具与 KBRA 边界审计防御，证明压缩边界应作为关键安全边界。
本文研究了智能体基于摘要的提示词压缩所引入的新型安全漏洞——重链（Relinking），并提出了系统化的攻击构建方法与边界审计防御机制。
Paper analysisRead analysis
AttacksarXiv 2603.16960Mar 17
针对现代视觉语言模型的对抗攻击
对开源视觉购物智能体实施商品图对抗攻击并诱导买错
arXiv
2603.16960
Published
Mar 17
Layer
Application layer
Setting
web agent
Evaluated models
LLaVA-v1.5-7B, Qwen2.5-VL-7B
- AttacksPrompt injection
- TechniqueGradient and representation optimization
- ComponentVision
Abstract作者称 LLaVA 易被三种攻击诱导买错，Qwen 正确购买率仍接近其干净条件。
作者在自建电商环境里比较两个开源 VLM 购物智能体对图像对抗扰动的鲁棒性。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2601.10923Jan 16
Hidden-in-Plain-Text：面向社交网络 RAG 间接提示注入的基准
用 OpenRAG-Soc 评测社交网页 RAG 的间接提示注入与检索投毒
arXiv
2601.10923
Published
Jan 16
Layer
Application layer
Setting
LLM applications
Evaluated models
Llama-3-8B-Instruct, Mistral-7B-Instruct, Qwen2.5-14B and others8
- AttacksPrompt injection
- TechniqueEncoding and obfuscation
- ComponentRAG
Paper analysisRead analysis
AttacksarXiv 2507.10457Jul 15, 2025
论文提出 LPCI：针对 Agent 逻辑层与持久记忆的提示控制注入攻击
提出 LPCI，把延迟条件载荷写入记忆与检索库以跨会话触发
arXiv
2507.10457
Published
Jul 15, 2025
Layer
Application layer
Setting
AI Agent
Evaluated models
ChatGPT, Claude, LLaMA3 and others8
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMemory
Abstract作者定义 LPCI。
作者把LPCI定义为针对智能体逻辑执行、记忆留存和工具集成的跨阶段漏洞类，而不是单次输入上的提示改写。
Paper analysisRead analysis
AttacksarXiv 2505.11717May 17, 2025
WebInject：通过网页像素扰动对多模态网页 Agent 实施提示注入
提出 WebInject，用网页像素扰动诱导网页 Agent 执行指定动作
arXiv
2505.11717
Published
May 17, 2025
Layer
Application layer
Setting
web agent
Evaluated models
UI-TARS-7B-SFT, Phi-4-multimodal-instruct, Llama-3.2-11B-Vision-Instruct and others5
- AttacksPrompt injection
- TechniqueGradient and representation optimization
- ComponentVision
AbstractWebInject 经源码扰动原始像素。
WebInject 是对 MLLM 网页智能体的环境提示注入：修改网页源码，使原始像素上的扰动经过显示器映射后，诱导智能体执行攻击者指定动作。
Paper analysisRead analysis
AttacksarXiv 2406.12814Jun 19, 2024
论文提出 ARE 框架，在 VisualWebArena 上评估多模态 Agent 的对抗鲁棒性
提出 ARE 框架与图像文本攻击，评测多模态网页 Agent 的对抗鲁棒性
arXiv
2406.12814
Published
Jun 19, 2024
Layer
Application layer
Setting
web agent
Evaluated models
GPT-4o, GPT-4V, Claude-3-Opus and others4
- AttacksPrompt injection
- TechniqueGradient and representation optimization
- ComponentVision
Abstract系统评估多模态网页智能体的脆弱性，指出推理时计算组件被攻破会加剧系统风险。
Paper analysisRead analysis

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