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<h1>CorsOne</h1>
<b>Fast, Accurate, and Comprehensive CORS Misconfiguration Detection</b>
Features • Installation • Quick Start • Usage Guide • Examples • Tutorial
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1. What is CorsOne?
2. Features
3. Performance Comparison
4. Installation
5. Quick Start
6. Usage Guide
7. CLI Options
8. Examples
9. Tutorial
10. Output Explanation
11. Contributing
12. Acknowledgment
13. License
14. De
15. Support
16. Additional Resources
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CorsOne is a specialized security testing tool designed to detect and identify Cross-Origin Resource Sharing (CORS) misconfigurations in web applications. It automates the process of testing for CORS that could allow attackers to:
Unlike generic security scanners, CorsOne:
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-u flag-l flag---
CorsOne has been significantly optimized for speed with a complete async HTTP refactor. The current uses asyncio and aiohttp with DNS caching for better throughput, lower latency, and reduced thread o.
Test Command: python3 CorsOne.py -u target.com -s
Impro: Approximately 7x faster execution time, now powered by an async aiohttp engine and cached DNS resolution.
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The easiest way to run CorsOne without installing dependencies:
> ⚠️ Note: The Docker image is currently una. Please use the alternati methods until it becomes accessible again.
Prerequisites
Installation Steps
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Single URL:
Multiple URLs from File:
From STDIN (Piped Input):
Sa to File:
Specify Output Format (TXT, JSON, or SARIF):
Sa Logs:
Disable Color Output:
Custom Domain for Testing:
Custom HTTP Method:
Rate Limiting:
Proxy Support:
Stop on First :
Custom Headers:
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| Option | Short | Type | Description | Default | Example |
|--------|-------|------|-------------|---------|---------|
| URL | -u | string | Target URL to scan | - | -u |
| List | -l | file | File containing URLs | - | -l targets.txt |
| Output | -o | file | Sa to file | - | -o results.txt |
| Format | -f | choice | Output format (txt/json/sarif) | txt | -f sarif |
| Headers | -H | string | Custom headers as JSON | - | -H '{"Cookie": "session=abc123"}' |--log
| Log | | file | Sa logs to file | - | --log scan.log |-vo
| Only | , -- | flag | Show and save only endpoints | false | -vo |-nc
| No Color | | flag | Disable colored output | false | -nc |-cd
| Domain | | string | Custom domain for testing | attacker.com | -cd attacker.com | <!-- FIX B1 -->-m
| Method | | string | HTTP method to use | GET | -m POST |-w
| Workers | | int | Concurrent workers | 5 | -w 10 |-rl
| Rate Limit | | float | Delay between requests (sec) | 0 | -rl 2 |-t
| Timeout | | int | Request timeout (seconds) | 10 | -t 15 |-r
| Retries | | int | Number of retries | 3 | -r 3 |-p
| Proxy | | string | HTTP/HTTPS proxy URL | - | -p |-sof
| Stop on First | | flag | Exit after first | false | -sof |-v
| | | flag | logging | false | -v |-s
| Silent | | flag | No banner output | false | -s |-h
| Help | | flag | Show help message | - | -h |--
| | | flag | Show information | - | -- |
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Step 1: Install Dependencies
Step 2: Run Your First Scan
Step 3: Understand the Output
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Scenario: You want to sa in specific format for automation or reporting
Step 1: JSON Output for Automation
Step 2: TXT Output for Reporting
Step 3: Enable Debug Logging
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Step 1: Create a Target File
Step 2: Run Batch Scan
Step 3: Review Results
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Scenario: You want to test CORS with your own domain instead of "attacker.com"
Step 1: Prepare
Step 2: Run Scan with Custom Domain
Step 3: Analyze Results
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Scenario: Your target uses cookie-based authentication - test with custom headers
Step 1: Obtain Session Cookie
Step 2: Scan with Cookie Header (JSON Format)
Step 3: Analyze Results
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Scenario: You want to intercept and inspect requests in Burp Suite
Step 1: Start Burp Suite
Step 2: Run CorsOne Through Proxy
Step 3: Inspect in Burp Suite
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Scenario: Target has rate limiting or IDS detection
Step 1: Identify Optimal Rate
Step 2: If Getting Blocked, Increase Delay
Step 3: Monitor for Rate Limit Errors
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Scenario: API supports multiple HTTP methods (GET, POST, PUT, DELETE)
Step 1: Test GET Requests (default)
Step 2: Test POST Requests
Step 3: Test Other Methods
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Scenario: You want to export CORS scan results in SARIF format for ad analysis and integration
Step 1: Understand SARIF Format
SARIF (Static Analysis Results Interchange Format) is an industry-standard format for security findings that enables integration with security tools and platforms.
Step 2: Generate SARIF Report
Step 3: Analyze Results
Step 4: Integration
SARIF files can be imported into security platforms and tools for centralized management and reporting. The generated SARIF file contains all necessary metadata including se, location, and detailed properties for comprehensi analysis.
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[] (Green in terminal)
AND Access-Control-Allow-Credentials: true`[SAFE] (Red in terminal)
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We welcome contributions! Here's how you can help:
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This project is licensed under the MIT License - see LICENSE file for details.
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CorsOne is de and maintained by:
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If you find CorsOne helpful:
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Happy CORS Testing! 🛡️
For questions or support, visit the GitHub repository or contact the de.
开发语言:Python
Star 数:29
该项目属于安全软件方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕CorsOne - Fast and comprehensive CORS misconfiguration scanner with 40+ bypass techniques and async scanning.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 | CorsOne - CorsOne - Fast and comprehensive CORS misconfigura |
| 所属分类 | 安全软件 |
| 发布作者 | admin |
| 发布时间 | 2026-10-05 22:50:43 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 137 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |