Case · DiggingBeagle record

Signed agent handoffs preserved bytes, not necessarily the user's requirements

A preregistered study found that signed manifests reduced unsafe commits in a specified Qwen3-8B comparison. Corrupting requirements before signing could still produce an authentic manifest that misrepresented user intent.

Public disclosure: Nov 5, 2026

Scope

Research reported in a controlled research or disclosure setting. Exact prerequisites, versions and absence of documented exploitation must be preserved.

Assessment profile

Assessment method
Setting
evaluation
Exploitation
demonstrated
Evidence
Grade C
Remediation
not applicable
AI role
AGAINST AI
Basis and provenance

The cited first-party advisory or research establishes the stated mechanism only within its documented conditions. No unrelated production compromise, extended victim scope, financial harm or universal mitigation is inferred.

Assessed Nov 9, 2026 using diggingbeagle.assessment/1.

At a glance

Mechanism and trust boundary

  1. 01

    An orchestrator extracts original requirements, builds a canonical JSON manifest and attaches a signature.

  2. 02

    A verifier rejects transit mutation, while a malicious or confused upstream extraction may insert an incorrect requirement before signing.

  3. 03

    A downstream executor sees a valid signature for a potentially altered statement of user intent.

Claims & evidence

CLM-HANDOFF-SIGNED-RESULTThe Qwen3-8B study comprised 1,440 trajectories. In its prespecified T2a-through-T4 attacked contrast over 144 paired tasks, unsafe commits fell from 69.4% with structured handoffs to 9.0% with signed requirement manifests. The 69.4% and 9.0% figures are not pooled rates across all 1,440 trajectories.supported

Basis: reported finding

Link to claim
CLM-HANDOFF-PRESIGN-BOUNDARYThe authors separately tested pre-signing injection and report that a valid HMAC authenticates the resulting manifest, not the fidelity of its content to the user request.supported

Basis: reported finding

Link to claim

Implications

Cryptographic integrity protects transport, not semantic authorization or correct requirement extraction.

Controls and mitigations

  • Keep authenticated original user requirements separately, validate extracted predicates against the original evidence and verify consequential tool arguments before dispatch.

Unknowns and contradictions

  • Synthetic exactly scorable cases and selected models, not a measured real corporate intrusion or deployment result.

Sources and citation

Material revision history

  1. Nov 9, 2026 · Published version · first publication · revision 233