Getting Started with SafeLine WAF: Installation and Overview

Installing SafeLine

To install SafeLine on a Linux system, run the following command:

(Ensure you have Docker and Docker Compose installed beforehand.)

bash -c "$(curl -fsSLk https://waf.chaitin.com/release/latest/setup.sh)"
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Default Installation Path: /data/safeline

Logging into SafeLine

Access SafeLine via the default port: 9443.

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Once you log in, you should see a screen similar to the one below.

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Feature Overview

1. View Attack Events

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You can click on the details to see the commands you entered, your IP, the time, and the type of injection detected.

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2. Site Protection Details

For a single-site setup, you can view directories.

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3. Protection Configuration

  • Blacklist/Whitelist: Configure access controls.

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  • Human Verification: A CAPTCHA box will appear after login.

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  • Rate Limiting: Prevent brute-force attacks.

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  • Semantic Analysis: Manage vulnerability type analysis.

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Official Website: https://waf.chaitin.com


Summary

SafeLine WAF stands out due to its powerful proactive defense capabilities, rapid high-concurrency processing, minimal impact on business operations, and web attack detection based on semantic analysis.

  • Proactive Defense:
    SafeLine WAF excels in proactive defense. By continuously learning from legitimate business traffic, it can automatically develop tailored defense strategies for different users. It also employs various deep learning algorithms to analyze abnormal requests, identifying and blocking malicious traffic in real time.

  • High-Concurrency Processing with Zero Impact:
    SafeLine WAF can be deployed in a clustered embedded mode. In terms of performance, tests have shown that a single SafeLine detection node can handle 200,000 QPS with 99% of requests having a latency of less than 1 ms, providing robust protection without impacting user experience.

  • Semantic Analysis-Based Detection:
    SafeLine WAF’s intelligent semantic analysis algorithm allows for language-based threat detection. By leveraging extensive sample data, it has developed precise threat detection models. During a 0-day exploit outbreak, it can protect against unknown threats without needing to add new rules or apply patches. This feature significantly reduces false positives and missed detections while enhancing protection against unknown threats.

Overall, SafeLine WAF’s proactive defense capabilities, high-concurrency handling, and minimal business impact make it a compelling choice for enterprises.

GitHub: https://github.com/chaitin/SafeLine
Discord: https://discord.gg/3aRJ4qfwjA


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