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The Splunk Attack Range builds instrumented cloud en (AWS, Azure, GCP), simulates attacks, and forwards data into Splunk for detection de and testing.
!Attack Range Architecture
What it does:
Click the picture to watch the demo 👇
<a href=" target="_blank">
<img src="docs/attack_range_demo.png" alt="Watch the demo" />
</a>
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Preferred: Docker Compose
1. Prerequisites: Docker and Docker Compose. Configure your cloud provider (AWS, Azure, or GCP) and mount credentials as below.
2. Clone and start:
3. Use the app or API:
- Web app: open — build/destroy ranges, view status, run simulations, share access.
- API: — REST API; interactive docs at
4. Build a range (two steps):
- In the app: pick a template (e.g. aws/splunk_minimal_aws) and start the build. When status is *Waiting for VPN*, download the WireGuard config, connect with WireGuard, then continue the build.
- Or via API: POST /attack-range/build with {"template": "aws/splunk_minimal_aws"}, poll GET /attack-range/status/<id>, use the returned WireGuard config, connect, then POST /attack-range/build with {"attack_range_id": "<id>"}.
5. CLI in Docker (optional):
Other actions: destroy, simulate, apply-role, share. See Detailed documentation for CLI usage and flags.
---
| Method | Use case |
|-------|----------|
| Docker Compose (recommended) | Run API + web app + optional CLI with one docker compose; no local Python/Ansible/Terraform. |
| Web app | Build, destroy, simulate, and share via the UI at port 4321. |
| REST API | Automate from scripts or CI; full OpenAPI docs at /openapi/swagger. |
| CLI | attack_range.py build | destroy | simulate | apply-role | share for terminal-based workflows. |
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config/<attack_range_id>.yml. Templates live in templates/{aws,azure,gcp}/.~/.aws, ~/.azure, or ~/.config/gcloud and mount them into the containers (see docker/docker-compose.yml).---
If you ha or need support, you can:
* Join the #security-research room in the Splunk Slack channel
* Post a question to Splunk Answers
* If you are a Splunk Enterprise customer with a valid support entitlement contract and have a Splunk-related question, you can also open a support case on the support portal
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开发语言:Python
Star 数:2564
该项目属于漏洞知识库方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk 展开,提供了可运行的实现,对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。
从技术实现角度看,此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论,梳理项目的初始化流程、核心模块职责与数据流转,逐步掌握其中的技术细节与设计思路。
1. 下载源码压缩包,解压到本地环境。
2. 根据项目类型准备对应的运行环境与依赖。
3. 按照 README 中的步骤完成配置与部署。
4. 在隔离的测试环境中运行验证,避免影响生产系统。
本资源来源于开源社区,仅供安全研究、技术学习与合法授权范围内的攻防演练使用,请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。
| 资源标题 | attack_range - A tool that allows you to create vulnerable instru |
| 所属分类 | 漏洞知识库 |
| 发布作者 | admin |
| 发布时间 | 2026-10-06 00:57:27 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 399 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |