---
license: apache-2.0
gated: true
extra_gated_heading: Request access to OpenCyberRange PostExploitBench
extra_gated_description: >-
  PostExploitBench is a gated cybersecurity benchmark dataset for controlled
  evaluation. Please use an institutional or organizational email. Access is
  reviewed manually and granted only to individual Hugging Face accounts.
extra_gated_button_content: Submit access request
extra_gated_prompt: >-
  By requesting access, you agree to use PostExploitBench only for lawful,
  authorized evaluation in controlled environments. You must not use the
  benchmark, files, outputs, traces, solutions, metadata, or derived artifacts
  for model training, fine-tuning, reinforcement learning, dataset construction,
  retrieval corpus construction, agent optimization, or capability improvement.
  You must not redistribute the files, expose vulnerable services to the public
  internet, attack third-party systems, or enable unauthorized real-world
  offensive activity.
extra_gated_fields:
  Full name: text
  Affiliation or organization: text
  Country or region: country
  Institutional or organizational email: text
  Intended use: text
  I confirm that I will use PostExploitBench only for authorized evaluation, will not use it or derived artifacts for model training, fine-tuning, reinforcement learning, dataset construction, retrieval corpus construction, agent optimization, or capability improvement, and will not redistribute files or expose vulnerable services to the public internet: checkbox
tags:
- benchmark
- cyber range
---

# PostExploitBench

PostExploitBench is the post exploitation benchmark under [**AgentCyberRange**](https://github.com/AgentCyberRange).

<img src="./assets/main_result.png" width="750">

## Overview

PostExploitBench is a benchmark for multi-host post-exploitation tasks. The complete dataset contains 8 self-contained cyber ranges with 156 target hosts.
Each `range-N/` models an isolated enterprise-like cyber range with entry services, internal networks, pivot hosts, vulnerable targets, supporting services, and decoys for evaluating multi-stage compromise.

> [!IMPORTANT]
> Access is reviewed manually. Do not redistribute the files, expose vulnerable services to the public internet, or use the dataset against third-party systems without explicit authorization.


## Evaluating with CAGE

This Hugging Face repository hosts the **PostExploitBench** dataset only.
To evaluate agents on PostExploitBench, please use [**CAGE**](https://github.com/AgentCyberRange/CAGE), the AgentCyberRange evaluation infrastructure.
CAGE handles benchmark setup, agent execution, prompt levels, proxy tracing, and the run inspector.
Please follow the CAGE README to configure CAGE, fetch the dataset, build the targets, and run the PostExploitBench evaluation.

# Citation

```
@misc{liu2026agentcyberrange,
  title={AgentCyberRange: Benchmarking Frontier {AI} Systems in Realistic Cyber Ranges},
  author={Fengyu Liu and Jiarun Dai and Yihe Fan and Wuyuao Mai and Ziao Li and Bofei Chen and Jie Zhang and Zheng Lou and Bocheng Xiang and Qiyi Zhang and Xudong Pan and Geng Hong and Yuan Zhang and Min Yang},
  year={2026},
  eprint={2606.14295},
  archivePrefix={arXiv},
  primaryClass={cs.CR},
  url={https://arxiv.org/abs/2606.14295}
}
```