statements ยท statement-BATCH-2026-006-037

source-BATCH-2026-005-008

The study demonstrates that a coordinated LLM-agent team can sometimes exploit previously unseen web vulnerabilities in a sandbox.

Statement context

Statement type
warning
Exact source locator
arXiv:2406.01637v2 PDF pp. 1 and 5, Abstract and Section 5.2
Source date
2024-06-02
Role at source time
joint authors of the HPTSA paper
Evidence character
author interpretation
Scope
Capability demonstration on 14 selected vulnerabilities, not a population estimate.

Recorded uncertainty: The result is model-, prompt-, and benchmark-specific and should not be read as production incident prevalence.

Indexed source: Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Evidence lineage and transparency

Relationship fieldLinked identifiers
topic idstopic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity

Machine review: machine checked. Human review: approved. Workflow: published.

Complete structured record
statement id
statement-BATCH-2026-006-037
source id
source-BATCH-2026-005-008
person id
Unknown
institutional author
Zhu et al. (joint paper authors)
book edition id
Unknown
speaker role at source time
joint authors of the HPTSA paper
organization at source time
University of Illinois Urbana-Champaign
statement type
warning
neutral paraphrase
The study demonstrates that a coordinated LLM-agent team can sometimes exploit previously unseen web vulnerabilities in a sandbox.
direct quote
Unknown
direct quote rights note
Unknown
exact locator
arXiv:2406.01637v2 PDF pp. 1 and 5, Abstract and Section 5.2
locator type
pdf_page
source date
2024-06-02
topic ids
topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity
executive role context
role-ciso, role-cio, role-cto, role-general-counsel, role-board-director
industry context
cross-sector
geographic context
synthetic sandbox; no human geography
evidence character
author_interpretation
factual verification status
source_reported_not_independently_verified
statement scope
Capability demonstration on 14 selected vulnerabilities, not a population estimate.
uncertainty
The result is model-, prompt-, and benchmark-specific and should not be read as production incident prevalence.
extraction method
Machine-assisted close reading of the exact verified source version; original neutral paraphrase; human review pending.
machine extraction confidence
0.94
independent agent review status
not_started
publication status
published
workflow status
published
machine review status
machine_checked
human review status
approved
reviewed by
Murray Newlands
reviewed at
2026-08-16T23:17:22Z
Provenance and revision history
{
  "provenance": [
    {
      "source_url": "https://arxiv.org/abs/2406.01637",
      "accessed_at": "2026-08-15",
      "retrieval_method": "Exact verified source version inherited from BATCH-2026-005 and statement-level close reading",
      "exact_locator": "arXiv:2406.01637v2 PDF pp. 1 and 5, Abstract and Section 5.2",
      "content_hash": "f4fc06040f0856d99d2009042b4c6fa0c01206da8ca61cb39a94d52b9867cf71",
      "batch_id": "BATCH-2026-006",
      "prompt_id": "OEII-STATEMENT-CODING",
      "prompt_version": "2.0",
      "notes": "Source eligibility inherited from source-BATCH-2026-005-008; human attribution and publication review pending."
    }
  ],
  "revision_history": [
    {
      "changed_at": "2026-08-16T23:17:22Z",
      "changed_by": "Murray Newlands",
      "summary": "Approved for the governed-identities pilot release under the exact scope, exclusions, rights treatment, and limitations recorded in issue #18.",
      "batch_id": "BATCH-2026-006"
    }
  ]
}

Open machine-readable record