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Oct 13 · Tuesday

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Found 21 papers

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Attack technique：Gradient and representation optimization Attack technique：Encoding and obfuscation Attack technique：Conversation structure manipulation Attack technique：Dormant triggers Attack surface / entry point：Tool responses Attack surface / entry point：Tool and skill descriptions Clear all

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AttacksarXiv 2610.12524Oct 8
An exploration of attacks on AI agent systems
Retest and extend prompt injection against AI agents, and use Agent Card deception to manipulate A2A selection
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
AbstractSingle-agent filtering and classification can be bypassed by format or wording, and A2A card selection is also biased toward names and descriptions.
The authors retested prompt injection on their own LangChain, AutoGen, and A2A systems, and modified the Agent Card to see if choices shifted. The abstract states the experiments mainly highlight single-agent weaknesses while extending attacks to multi-agent.
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 2609.39065Sep 30
TrustProbe finds 104 skill trust chain vulnerabilities in 11 open-source agents
提出 TrustProbe，挖掘技能智能体中不可信 skill 到特权操作的信任链漏洞
arXiv
2609.39065
Published
Sep 30
Layer
Application layer
Setting
AI Agent
Evaluated models
OpenClaw, OpenCode, Hermes Agent and others11
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMCP and skills
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
Evaluation and benchmarksarXiv 2609.35912Sep 28
MMSkillRisk：多模态技能图像中的隐藏指令可诱导 Agent 执行未授权操作
提出 MMSkillRisk 基准，评测多模态技能图像中的隐藏指令诱导 Agent 越权操作
arXiv
2609.35912
Published
Sep 28
Layer
Application layer
Setting
coding agent
Evaluated models
GPT-5.6-sol, Kimi-K2.6, Kimi-K3 and others6
- AttacksPrompt injection
- TechniqueCross-modal payloads
- ComponentMCP and skills
Abstract论文提出 MMSkillRisk 基准与 NCVA 攻击，揭示多模态技能中教学图像潜藏指令可引发未授权操作并与良性任务共存。
Paper analysisRead analysis
AttacksarXiv 2609.27542Sep 23
Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring
提出控制标记注入，清空工具 Agent 的思维链以绕过推理监控
arXiv
2609.27542
Published
Sep 23
Layer
Application layer
Setting
AI Agent
Evaluated models
openai/gpt-oss-20b, google/gemma-4-26B-A4B-it, deepseek-ai/DeepSeek-R1-Distill-Qwen-7B and others4
- AttacksPrompt injection
- TechniqueConversation structure manipulation
- ComponentReasoning chains
Abstract论文阐明控制标记注入可抑制 CoT 使监控失效并促成拒绝绕过，且工具执行受解析器宽容度影响。
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 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 2609.01222Sep 1
Researchers propose context privilege escalation attack, affecting 12 agent frameworks
提出针对 Agent Harness 的上下文特权提升攻击
arXiv
2609.01222
Published
Sep 1
Layer
Application layer
Setting
coding agent
Evaluated models
GPT-5.5, GPT-5.4 mini, Claude-Sonnet-4.6 and others7
- AttacksPrompt injection
- TechniqueDormant triggers
- ComponentMemory
Paper analysisRead analysis
AttacksarXiv 2608.25776Aug 26
EvoMal attack uses self-poisoning of self-evolving coding agents to achieve worm-like propagation
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 2608.23471Aug 25
InjecMEM: Memory Injection Attacks against LLM Agent Memory Systems
提出 InjecMEM，一次注入 Agent 记忆使后续查询输出预设内容
arXiv
2608.23471
Published
Aug 25
Layer
Application layer
Setting
AI Agent
Evaluated models
Qwen2.5-7B-Instruct, Llama-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3 and others6
- AttacksPoisoning and backdoors
- TechniqueGradient and representation optimization
- ComponentMemory
Paper analysisRead analysis
AttacksarXiv 2608.09577Aug 10
ElasticBack：通过触发词与规则耦合在 LLM Agent 技能中植入条件后门
提出 ElasticBack，在单个 Agent 技能中植入条件后门
arXiv
2608.09577
Published
Aug 10
Layer
Application layer
Setting
coding agent
Evaluated models
GLM-5.2, MiniMax-M3, GPT-5.4 and others4
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMCP and skills
AbstractElasticBack 用冻结规则加遗传搜索演化 trigger，在单 skill 上做条件后门。
ElasticBack 是放在 LLM agent 单个 skill 里的条件后门攻击。。
Paper analysisRead analysis
AttacksarXiv 2607.06595Jul 7
When Agents Remember Too Much: Memory Poisoning Attacks against Large Language Model Agents
Proposed GhostWriter memory poisoning, which writes into the agent's long-term memory via email and calendar and activates across sessions
arXiv
2607.06595
Published
Jul 7
Layer
Application layer
Setting
AI Agent
Evaluated models
GPT-5.4-mini, DeepSeek-V4-Flash, Gemini-2.5-Flash and others4
- DefensesDetection and filtering
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMemory
Paper analysisRead analysis
AttacksarXiv 2607.05189Jul 6
Researchers propose MemGhost, achieving covert memory injection into persistent personal agents
提出 MEMGHOST，用单封邮件对持久个人 Agent 做跨会话隐蔽记忆注入
arXiv
2607.05189
Published
Jul 6
Layer
Application layer
Setting
AI Agent
Evaluated models
GPT-5.4, Claude Sonnet 4.6, Claude Sonnet 4.5 and others6
- AttacksPoisoning and backdoors
- TechniqueAutomated search
- ComponentMemory
Abstract总结了论文的研究背景、双代理优化方法 MEMGHOST、全周期实验结果以及作者对记忆信任边界的启示。
本文研究了持久化个人智能体面临的隐蔽记忆注入威胁，提出了一套兼顾写入、隐蔽与跨会话生效的自动化生成框架与全周期评测基准。
Paper analysisRead analysis
AttacksarXiv 2607.00481Jul 1
研究者提出 SMT 框架，通过模拟审核轨迹越狱函数调用 LLM
提出 SMT 框架，用模拟审核轨迹越狱函数调用 LLM
arXiv
2607.00481
Published
Jul 1
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box, White-box
Evaluated models
GPT-4o, GPT-5.4, Qwen3-Max and others7
- AttacksJailbreaks
- TechniqueMulti-turn escalation
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 2606.04329Jun 3
研究者系统研究 LLM 智能体记忆投毒攻击并提出 MPBench 基准
系统研究 LLM 智能体记忆投毒并构建基准 MPBench
arXiv
2606.04329
Published
Jun 3
Layer
Application layer
Setting
AI Agent
Evaluated models
Meta-Llama-3.1-70B-Instruct, Deberta-v3-base, Llama-3.1-8B-Instruct and others5
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMemory
Abstract系统研究了智能体记忆投毒风险，揭示了写入渠道漏洞，构建了 MPBench 基准并指出提示注入防御的局限。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2605.01970May 4
Trojan Hippo Bench: A Dynamic Benchmark for Persistent Memory Attacks and Defenses on LLM Agents
构建 Trojan Hippo Bench，评测 Agent 持久记忆投毒与外泄
arXiv
2605.01970
Published
May 4
Layer
Application layer
Setting
AI Agent
Evaluated models
Gemini 3.1 Pro, GPT-5-mini, GPT-5
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMemory
Abstract论文提出了评测智能体持久化记忆攻击与防御的 Trojan Hippo Bench，揭示了潜伏攻击威胁及内存防御的安全与效用权衡。
Paper analysisRead analysis
AttacksarXiv 2604.03081Apr 3
Supply Chain Poisoning Attacks on the LLM Coding Agent Skill Ecosystem
提出 PoisonedSkills，评测编码 Agent 技能生态的文档投毒
arXiv
2604.03081
Published
Apr 3
Layer
Application layer
Setting
coding agent
Evaluated models
Claude Sonnet 4.6, GLM-4.7, MiniMax-M2.5 and others5
- AttacksPoisoning and backdoors
- TechniqueEncoding and obfuscation
- ComponentMCP and skills
Abstract作者称技能文档可成为系统操作攻击入口，但结果只评估加载后的阶段。
PoisonedSkills 研究编码智能体的技能供应链投毒，重点是文档内容如何进入实际系统操作。。
Paper analysisRead analysis
AttacksarXiv 2602.14211Feb 16
SkillJect: Automatically generating skill-based prompt injection for skill-based agents
Proposes SkillJect, which automatically generates poisoned skills to induce code agents to execute hidden scripts
arXiv
2602.14211
Published
Feb 16
Layer
Application layer
Setting
coding agent
Evaluated models
Claude-4.6-Sonnet, GPT-5-mini, GLM-4.7 and others10
- AttacksPrompt injection
- TechniqueAutomated search
- ComponentMCP and skills
AbstractSkillJect poisons skills using dual channels and closed-loop refinement.
SkillJect is an automated prompt injection framework targeting installable agent skills. The authors address the problem that malicious instructions placed in publicly available or manually installed skills are often rejected or ignored, yet once a skill is installed, it is repeatedly loaded as trusted guidance.
Paper analysisRead analysis

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Attack type

Attack technique

Impact

System type

Attack surface / entry point

Layer

System component

An exploration of attacks on AI agent systems

从期望危害到似然：LLM 智能体越狱的概率重构

TrustProbe finds 104 skill trust chain vulnerabilities in 11 open-source agents

AdaLCPI：让 Agent 从长上下文碎片中重建间接提示注入

MMSkillRisk：多模态技能图像中的隐藏指令可诱导 Agent 执行未授权操作

Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring

研究：跨通道碎片化攻击可绕过 MCP 单通道防御

HookPry：利用插件生命周期钩子更新劫持 AI Agent 框架

Researchers propose context privilege escalation attack, affecting 12 agent frameworks

EvoMal attack uses self-poisoning of self-evolving coding agents to achieve worm-like propagation

InjecMEM: Memory Injection Attacks against LLM Agent Memory Systems

ElasticBack：通过触发词与规则耦合在 LLM Agent 技能中植入条件后门

When Agents Remember Too Much: Memory Poisoning Attacks against Large Language Model Agents

Researchers propose MemGhost, achieving covert memory injection into persistent personal agents

研究者提出 SMT 框架，通过模拟审核轨迹越狱函数调用 LLM

研究者提出 relinking 漏洞：LLM Agent 压缩边界可被拼出恶意指令

研究者系统研究 LLM 智能体记忆投毒攻击并提出 MPBench 基准

Trojan Hippo Bench: A Dynamic Benchmark for Persistent Memory Attacks and Defenses on LLM Agents

Supply Chain Poisoning Attacks on the LLM Coding Agent Skill Ecosystem

SkillJect: Automatically generating skill-based prompt injection for skill-based agents