Prompt injection attacks in connectorsBrowse 284 families

Prompt injection attacks in connectors

Does the model follow the publisher's safety policy under challenging prompts?

Version / measure
Domain
Safety
Ranked models
3
Reported values
4
Reports
1 · lab
Direction
Higher is better
Status
Version not specified

Rankings

Best reported score per model across effort settings

3 models
#ModelBest settingScore
1GPT-5.5OpenAIreportedcost n/a2 values · Aug 6 · source1.000
2GPT-5.6 SolOpenAIreportedcost n/a1 value · Aug 6 · source1.000
3GPT-5.3 InstantOpenAIreportedcost n/a1 value · Aug 6 · source0.998

Effort curve

Score vs. reported cost. Lines connect complete sweeps only.

0 values
No cost-linked effort sweep for this version.
Definition and comparison boundarylimited methodology

Does the model follow the publisher's safety policy under challenging prompts?

Publisher-defined safety behavior, robustness, or preparedness evaluations under the stated test protocol. Higher is better. Raw not_unsafe share in the publisher's [0,1] scale.

Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.

Connector prompt-injection robustness table; the published comparison columns include GPT-5.3 Instant, GPT-5.5 Instant, GPT-5.5 Instant May Update, and GPT-5.6 Sol August only.

Method / source ↗