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Oct 12 · Monday

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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 2610.08098Oct 6
CORSA：面向技能路由器的技能注入攻击可跨路由器与 LLM 迁移
提出 CORSA，按任务簇优化技能注入的检索与执行
arXiv
2610.08098
Published
Oct 6
Layer
Application layer
Setting
coding agent
Evaluated models
GPT-5.4, DeepSeek-V4-Pro, Qwen3.8-27B and others5
- AttacksPoisoning and backdoors
- TechniqueSelection manipulation
- ComponentMCP and skills
Paper analysisRead analysis
AttacksarXiv 2609.30383Sep 25
研究者提出技能级联攻击
提出技能级联攻击，把有害目标拆散到多个技能里绕过单技能扫描
arXiv
2609.30383
Published
Sep 25
Layer
Application layer
Setting
AI Agent
Evaluated models
GPT-5.4, GPT-5.4 Mini, Claude Opus 4.6 and others11
- AttacksPoisoning and backdoors
- TechniqueDefense-targeted
- ComponentMCP and skills
Abstract论文探讨了多技能智能体系统面临的技能级联攻击风险，提出自动化红队框架与基准集，指出跨技能交互存在安全防护盲区。
Paper analysisRead analysis
AttacksarXiv 2609.26761Sep 23
A2M：针对 MCP 生态的两阶段 Agent 劫持框架
提出两阶段框架 A2M，优化 MCP 工具元数据与返回载荷以劫持 Agent
arXiv
2609.26761
Published
Sep 23
Layer
Application layer
Setting
AI Agent
Evaluated models
GLM-4.6, Qwen3-Max, DeepSeek-V3.1 and others5
- AttacksPrompt injection
- TechniqueAutomated search
- ComponentMCP and skills
Paper analysisRead analysis
AttacksarXiv 2609.03884Sep 3
HookPry：利用插件生命周期钩子更新劫持 AI Agent 框架
提出 HOOKPRY，用插件钩子版本更新供应链劫持 Agent 框架
arXiv
2609.03884
Published
Sep 3
Layer
Application layer
Setting
AI Agent
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMCP and skills
Paper analysisRead analysis
AttacksarXiv 2609.02035Sep 2
ISM：通过语义匹配隐式操纵 LLM Agent 的技能选择
提出 ISM，用语义匹配隐式操纵 Agent 技能选择
arXiv
2609.02035
Published
Sep 2
Layer
Application layer
Setting
AI Agent
Evaluated models
Llama-2-7B, Llama-3-8B, Llama-3.1-8B and others8
- AttacksPoisoning and backdoors
- TechniqueSelection manipulation
- ComponentMCP and skills
Paper analysisRead analysis
AttacksarXiv 2608.27800Aug 28
ContextLeak：通过恶意工具窃取 LLM Agent 运行时上下文
提出 ContextLeak，用强化学习优化恶意工具描述，诱导 Agent 外泄运行时上下文
arXiv
2608.27800
Published
Aug 28
Layer
Application layer
Setting
AI Agent
Evaluated models
Qwen-3-8B, GPT-OSS-20B, Gemma-4-E4B-it and others11
- AttacksPrompt injection
- TechniqueSelection manipulation
- ComponentMCP and skills
Paper analysisRead analysis
AttacksarXiv 2608.25776Aug 26
EvoMal 攻击利用自我进化编码 Agent 的自我投毒实现蠕虫式传播
提出 EVOMAL，诱导自演化编码 Agent 在创建技能时自我投毒并蠕虫传播
arXiv
2608.25776
Published
Aug 26
Layer
Application layer
Setting
coding agent
Evaluated models
Devstral-Small-2, Gemma-4-31B-IT, Qwen3-Coder-Next and others7
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMCP and skills
Abstract论文指出了自演化智能体模仿检索代码的自我毒化漏洞，提出 EVOMAL 攻击与防御，阐明了供应链新风险。
Paper analysisRead analysis
AttacksarXiv 2608.12273Aug 13
研究者提出 Convergent Detour Hijacking 攻击，可让技能型 LLM Agent 绕路并放大资源消耗
提出 CDH 攻击，让技能型 Agent 绕路放大资源消耗
arXiv
2608.12273
Published
Aug 13
Layer
Application layer
Setting
AI Agent
Evaluated models
Claude-Haiku-4.5, DeepSeek-V4-Pro, DeepSeek-V4-Flash and others6
- AttacksPrompt injection
- TechniqueSelection manipulation
- ComponentMCP and skills
AbstractCDH 让静态技能在保持任务完成时拉高调用与 token，耗时则因后端而异。
CDH 是针对渐进披露技能智能体的发布者侧、纯文本攻击：一个静态协调器把本可正确完成的任务，拐进有界但更耗资源的技能绕路，再交还原任务。
Paper analysisRead analysis
AttacksarXiv 2607.12340Jul 14
研究：LLM Agent 技能名幻觉率最高达 62%，可被抢注用于供应链攻击
提出技能名称抢注攻击，利用 Agent 虚构技能名实施供应链劫持
arXiv
2607.12340
Published
Jul 14
Layer
Application layer
Setting
coding agent
Evaluated models
GLM-4.5-Air, GPT-5.4-mini, Claude Sonnet 4.6 and others12
- AttacksPoisoning and backdoors
- RiskHallucination and fabrication
- TechniqueSelection manipulation
- ComponentMCP and skills
Abstract研究证实智能体虚构技能名具有高发生率与可预测性，现有防御难以兼顾安全与效用，亟需注册表结构性防护。
本研究系统揭示了大模型智能体技能推荐场景下的虚构技能名称安全风险，将其形式化为一种新型供应链抢注攻击。
Paper analysisRead analysis
AttacksarXiv 2607.00422Jul 1
KidnapRAG：黑盒投毒攻击劫持 Agentic RAG 的推理链
提出 KidnapRAG，用投毒文档黑盒劫持 Agentic RAG 的推理链
arXiv
2607.00422
Published
Jul 1
Layer
Application layer
Setting
AI Agent
Evaluated models
Qwen2.5-32B-Instruct, Llama-3.3-70B-Instruct, QwQ-32B and others5
- AttacksPoisoning and backdoors
- TechniqueSelection manipulation
- ComponentReasoning chains
Abstract顺序投毒可把多步推理拖向指定应答，作者称关键在持续引导而非单次注入。
KidnapRAG 是针对 Agentic RAG 的 black-box 语料投毒：攻击者不能访问模型、提示词、检索器或私有轨迹，只能发布可能被检索的文档，并利用公开界面上的推理与搜索查询。
Paper analysisRead analysis
AttacksarXiv 2603.25164Mar 26
PIDP-Attack：结合提示注入与数据库投毒攻击 RAG 系统
提出 PIDP-Attack，用查询后缀与语料投毒操纵 RAG 回答
arXiv
2603.25164
Published
Mar 26
Layer
Application layer
Setting
LLM applications
Evaluated models
qwen/qwen2.5-7b-instruct, qwen/qwen2-7b-instruct, meta/llama-3.1-8b-instruct and others8
- AttacksPrompt injection
- TechniqueSelection manipulation
- ComponentRAG
Paper analysisRead analysis

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Layer

System component

An exploration of attacks on AI agent systems

CORSA：面向技能路由器的技能注入攻击可跨路由器与 LLM 迁移

研究者提出技能级联攻击

A2M：针对 MCP 生态的两阶段 Agent 劫持框架

HookPry：利用插件生命周期钩子更新劫持 AI Agent 框架

ISM：通过语义匹配隐式操纵 LLM Agent 的技能选择

ContextLeak：通过恶意工具窃取 LLM Agent 运行时上下文

EvoMal 攻击利用自我进化编码 Agent 的自我投毒实现蠕虫式传播

研究者提出 Convergent Detour Hijacking 攻击，可让技能型 LLM Agent 绕路并放大资源消耗

研究：LLM Agent 技能名幻觉率最高达 62%，可被抢注用于供应链攻击

KidnapRAG：黑盒投毒攻击劫持 Agentic RAG 的推理链

PIDP-Attack：结合提示注入与数据库投毒攻击 RAG 系统