Case · DiggingBeagle record

Near-target prompt injections preserve the main task while changing a critical detail

NTBench measures attacks that alter a small part of an otherwise plausible answer or agent action. In its tested configurations, near-target objectives outperform fixed-target attacks, without showing production harm.

Scope

The benchmark results depend on selected targets and three attempts per sample. The paper does not measure monetary losses, actual unauthorized changes or all deployed agents.

Assessment profile

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

Enrich update: CLM-ENRICH-20261027-22 cites SRC-2026-CP21-NTBENCH-NEAR-TARGET-INJECTION at Abstract, reference-derived targets and exclusion of uninduced deviations. New evidence concerns the bounded reported mechanism, prerequisite or outcome; setting evaluation; exploit status demonstrated; remediation status not_applicable. No independently comparable impact scale, affected production population or universal exploit success measure was established, so the impact band remains null. Original Claims remain individually attributable and any observed incident or simulated result is distinguished in the narrative.

Assessed Oct 27, 2026 using diggingbeagle.assessment/1.

At a glance

Mechanism and trust boundary

  1. 01

    Step

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    Step

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    Step

Timeline

  1. Oct 23, 2026
    disclosure

    Public disclosure

Claims & evidence

CLM-ENRICH-20261027-22NTBench checks deviations from a task-specific reference and excludes mistakes already present without injection, separating maliciously induced near-target changes from baseline agent error.supported

Basis: reported finding

Link to claim
CLM-CP21-NTBENCH-NEAR-TARGET-INJECTION-1The paper compares near-target objectives with fixed-target prompt injections across seven LLMs, ten datasets and two agent benchmarks, reporting larger measured deviation rates for the close-to-correct attack targets.supported

Basis: reported finding

Link to claim

Implications

A safe-looking completion may still be a successful injection when the attacker controls one critical field.

Controls and mitigations

  • Compare consequential tool parameters against the original authorized objective and an independently sourced reference, rather than merely checking whether the broad task appears complete.

Unknowns and contradictions

  • The benchmark results depend on selected targets and three attempts per sample. The paper does not measure monetary losses, actual unauthorized changes or all deployed agents.

Sources and citation

Material revision history

  1. Oct 27, 2026 · Canonical change recorded · new in release · revision 196