DTap-Bench (Indirect Attacks) - Legal: leaderboard

Metric: Attack success rate (%; 200 indirect red-teaming legal practice tasks: third-party tool, skill and environment injections into a benign user task; an attack succeeds when a rule-based check of the final environment state finds the malicious goal fully achieved; fixed attack sequences that DTap-Red optimized on a surrogate agent; mean of its risk-category rates). Source: arxiv.org. Saturation forecast: Around 2031. 8 models tracked.

Top models

#ModelScore
1GPT-OSS-120B30.9
2Gemini 3 Pro56.3
3GPT-5.458.1
4GPT-5.266.2

Interactive version: theaggregate.ai/benchmark?slug=dtap-bench-indirect-attacks-legal · How It Works · Data refreshed daily, snapshot 2026-09-26.