Agent Control Flash News·· 4 小时前AI 评分45
清华郑海涛团队揭示LLM凭证泄露风险:他人凭证检索命中率达84.7%
共享记忆别不写「这是谁的凭证」:清华郑海涛等,他人凭证检索命中 84.7%;写明 owner 后误用 92→1/305
Edge-TTS 广播级有声
全员无门槛畅听
点击合成广播级音频
00:00
00:00
AI 导读
暴露不等于伤害:agent 平时很少用他人凭证,但当记忆里没有本人凭证、只有一条他人凭证被当成本人记录时,就会照用。
正文
Abstract:Shared long-term memory lets an LLM agent serving one user inadvertently retrieve another user's credentials, but it is unclear when such exposure leads to actual harm. We introduce a three-stage audit that separates three events: a foreign credential reaches the prompt (exposure), the agent acts with it (behavior), and the other user's account changes (state). In AppWorld, a store that mixes 763 past logins from all users retrieves another user's credential for 84.7 percent of required apps, yet agents rarely act on it. Misuse appears in a stress test where memory lacks the user's own credential and presents a single foreign one as the user's record: seven agents then use it in 80 to 94 percent of runs and change the victim's account in up to 43 percent, sometimes passing the official check. Naming the owner before or inside each credential line prevents most of this: with all else fixed, misuse falls from 92 to 1 of 305 paired runs, also with name-free usernames, though owner-bound notes cost 3 to 5 successful tasks per model on clean memory. A wrongly written owner largely restores misuse; trailing owner tags and added safety instructions help only some models. Agent memory should consistently record whose credential it stores, and evaluations should measure behavior, not only exposure.
| Comments: | 19 pages, 14 figures, 12 tables |
| Subjects: | Artificial Intelligence (cs.AI); Computation and Language (cs.CL) |
| ACM classes: | I.2.7; K.6.5 |
| Cite as: | arXiv:2610.25707 [cs.AI] |
| (or arXiv:2610.25707v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.25707 arXiv-issued DOI via DataCite |
Submission history
From: Hausing So [view email]
[v1]
Mon, 19 Oct 2026 02:53:51 UTC (2,126 KB)
来源:Agent Control Flash News · arxiv.org
💡量子基态深度拆解 · 关联专栏与产品
原创出品站长/Quantara 团队·约 3 分钟深度解析
Cursor Agent 架构全景拆解:从影子工作区到多文件推演引擎
全面剖析 Cursor 在 Agent 模式下的底层技术实现,解析影子分支隔离、LSP 上下文剪枝以及预测性补全的核心架构细节与工程实践经验。
深入理解底层架构与行业变量阅读完整拆解 →
精选收录Vercel Changelog·约 1 分钟深度解析
Vercel v0 推出全新多 Agent 协作画布与实时全栈部署预览
动态速评:v0 正在从单一组件生成器演进为全栈应用搭建协作台,尤其是与 Neon/Postgres 的直连极大降低了全栈原型验证成本。
深入理解底层架构与行业变量阅读完整拆解 →