Why SafeLine Could Be the Best Free WAF for Your Website
Lulu
Posted on August 22, 2024
When it comes to evaluating the effectiveness of a Web Application Firewall (WAF), BlazeHTTP stands out as a simple yet powerful tool. Designed specifically for this purpose, BlazeHTTP provides a comprehensive assessment of WAF protection.
BlazeHTTP Overview
- Extensive Sample Library: BlazeHTTP currently includes 33,669 samples, and this set is regularly updated to stay current with emerging threats.
- No Setup Required: Available in both GUI and command-line versions, BlazeHTTP is easy to use. You can either download precompiled versions from the Releases page or clone the repository to compile it yourself.
- Detailed Reporting: BlazeHTTP generates in-depth reports on all test executions, covering attributes like execution time, status codes, interception outcomes, and more.
Key Testing Metrics
| Metric | Description | Calculation Method |
|---|---|---|
| Detection Rate | Measures how effectively the WAF identifies threats. A low detection rate indicates gaps in coverage. | Number of attack samples intercepted |
| False Positive Rate | Evaluates the WAF's impact on legitimate traffic. A high rate suggests that the WAF is incorrectly blocking safe traffic. | Number of normal samples intercepted |
| Accuracy | Combines detection and false positive rates for a balanced view of WAF performance. | - |
| Detection Timing | Assesses WAF performance by measuring how quickly threats are detected. Longer times suggest slower responses. | - |
Sample Tests
-
Normal Sample:
GET /rc-virtual-list@3.5.2/lib/hooks/useHeights.js HTTP/1.1 Host: npm.staticblitz.com User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Accept: */* Origin: https://stackblitz.com -
Malicious Sample:
GET /vulnerabilities/sqli_blind/?id=1%27+or+%27%27%3D%27&Submit=Submit HTTP/1.1 Host: 10.10.3.128 Upgrade-Insecure-Requests: 1
SafeLine vs CloudFlare
| Metric | CloudFlare (Free) | SafeLine (Free, Balance Mode) | SafeLine (Free, Strict Mode) |
|---|---|---|---|
| Total Samples | 33,669 | 33,669 | 33,669 |
| Successful | 33,350 | 33,669 | 33,669 |
| Errors | 319 | 0 | 0 |
| Detection Rate | 10.70% | 71.65% | 76.17% |
| False Positive Rate | 0.07% | 0.07% | 0.22% |
| Accuracy | 98.40% | 99.45% | 99.38% |
| Average Time | 288.96 ms | 70.05 ms | 64.34 ms |
SafeLine vs ModSecurity
| Metric | ModSecurity (PARANOIA 1) | ModSecurity (PARANOIA 4) | SafeLine (Free, Balance Mode) | SafeLine (Free, Strict Mode) |
|---|---|---|---|---|
| Total Samples | 33,669 | 33,669 | 33,669 | 33,669 |
| Successful | 33,669 | 33,669 | 33,669 | 33,669 |
| Errors | 0 | 0 | 0 | 0 |
| Detection Rate | 69.74% | 94.61% | 71.65% | 76.17% |
| False Positive Rate | 17.58% | 52.46% | 0.07% | 0.22% |
| Accuracy | 82.20% | 48.34% | 99.45% | 99.38% |
| Average Time | 31.15 ms | 28.89 ms | 70.05 ms | 64.34 ms |
💖 💪 🙅 🚩
Lulu
Posted on August 22, 2024
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