English

FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents

Artificial Intelligence 2026-07-06 v1

Abstract

Deep research agents decompose open-ended queries into subtasks, retrieve web evidence over multiple rounds, and synthesize long-form reports. This workflow creates a planning-layer poisoning surface: adversarial documents that enter the retrieval pool can steer follow-up questions and turn a local injection into report-level contamination. We present FORGE (Fabricated Orchestrated Reasoning chain for aGent Exploitation), a two-level attack that combines intra-document reasoning fabrication with inter-document chain coordination to hijack subtask planning. We further introduce the PRISM metric, which weights infected report claims by cognitive type, and Root Query Anchoring, a lightweight defense that ties recursive follow-up generation to the root query. Across 25 queries, Network FORGE reaches 26.4% PRISM with five injected documents and exhibits depth migration, in which recursive synthesis shifts poisoned content from overt framing into factual premises. On the 10-query defense subset, RQA (Root Query Anchoring) reduces PRISM from 38.5% to 18.3%.

Cite

@article{arxiv.2607.04718,
  title  = {FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents},
  author = {Yue Pan and Ziheng Zhang and Junxiang Lei and Changhao Jia and Qingyi Si and Hongcheng Guo},
  journal= {arXiv preprint arXiv:2607.04718},
  year   = {2026}
}

Comments

20 pages,8 figures,Code available at https://github.com/yvepan/FORGE