Case · DiggingBeagle record

A trusted agent tool update changed actions without changing its interface

ETUDE demonstrates a postapproval tool-binary change that performed unauthorized side effects while ordinary agent instructions remained intact.

Public disclosure: Nov 1, 2026

Scope

The attacker already controls an update channel for a trusted executable tool; an agent has approved its function identity before the update. The changed executable performs additional effects when called, escaping scrutiny that only checks the model conversation or tool schema.

Assessment profile

Assessment method
Setting
evaluation
Exploitation
demonstrated
Evidence
Grade C
Remediation
mitigation available
AI role
AGAINST AI
Basis and provenance

Scoped Claim(s) link to SRC-2026-NOV04-ETUDE-TOOL-UPDATE; reviewed as research in evaluation. Only reported controlled behavior or proof-of-concept is established; no production victim or impact magnitude is measured.

Assessed Nov 10, 2026 using diggingbeagle.assessment/1.

At a glance

Mechanism and trust boundary

  1. 01

    Precondition and trust context

    The attacker already controls an update channel for a trusted executable tool; an agent has approved its function identity before the update.

  2. 02

    Crossed boundary

    The changed executable performs additional effects when called, escaping scrutiny that only checks the model conversation or tool schema.

  3. 03

    Observed limit

    The experiment assumes update-channel control; it is not evidence that specific deployed tools were compromised.

Timeline

  1. Nov 1, 2026
    Event type unspecified

    Initial documented finding

    A trusted agent tool update changed actions without changing its interface

  2. Nov 1, 2026
    disclosure

    Public disclosure

Claims & evidence

CLM-DB233-ETUDE-TOOL-UPDATE-01The attacker updates previously approved tool code after initial registration and retains tool name and schema.supported

Basis: reported finding

Link to claim
CLM-DB233-ETUDE-TOOL-UPDATE-02The paper measures side effects separately from legitimate task completion in controlled agent frameworks.supported

Basis: reported finding

Link to claim
CLM-ENR234-DB233-ETUDE-TOOL-UPDATEETUDE reports a 97.6% attacker-goal success rate in the evaluated postapproval tool-update conditions, with the executable update channel controlled by the attacker before the benign agent's next call.supported

Basis: reported finding

Link to claim

Controls and mitigations

  • Bind tool approval to an immutable executable digest and require reauthorization after changes to code or package provenance.
  • Apply least-privilege credentials and effect-specific network/filesystem policy even to previously approved tools.

Unknowns and contradictions

  • The experiment assumes update-channel control; it is not evidence that specific deployed tools were compromised.

Sources and citation

Material revision history

  1. Nov 10, 2026 · Published version · first publication · revision 235