agent/papers/items/2026-2606-30119-on-the-internet-nobody-knows-you-re-an-llm-bot-unmasking-web-agents-with-multi-l.md

Paper: On the Internet, Nobody Knows You're an LLM Bot: Unmasking Web Agents with Multi-Layer Fingerprinting

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type: paper title: "On the Internet, Nobody Knows You're an LLM Bot: Unmasking Web Agents with Multi-Layer Fingerprinting" authors: Iliana Fayolle, Sihem Bouhenniche, Samuel Pélissier, Pierre Laperdrix, Clémentine Maurice, Walter Rudametkin year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.30119 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-29 updated_at: 2026-06-29 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• embodied-agent
• rag
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: web-gui-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: web-gui-agent
• inferred topics: agent-evaluation, computer-use, embodied-agent, rag, tool-use, workflow-agent
• arXiv categories: cs.CR
• collection score: 14

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.30119