Tired of outdated WAFs that rely on static rule sets? Meet SafeLine WAF β a next-gen Web Application Firewall that uses dynamic encryption and semantic analysis to stop threats before they reach your app.
π Dynamic Encryption: Scramble Everything but the User
1. Real-Time Encryption & Obfuscation
SafeLine uses AES-GCM encryption to dynamically obfuscate HTML and JavaScript at runtime. Every page load gets a unique version, making it unreadable to bots or scrapers.
Original code:
function getUserInfo() {
return { id: 123, name: "Alice" };
}
After encryption:
function vgo8rYXzpS() {
var YIhUo91Nlh = 99.6174697329428;
VdgkMuAloP("Z_GUlDIf7g");
}
Even login forms become encrypted blobs that only the browser can render.
<form action="/login" method="post">
<input type="text" name="username">
<input type="password" name="password">
<input type="submit" value="Login">
</form>
β Transformed into unreadable code unless decrypted by the SafeLine JS engine.
2. Anti-Crawling and Anti-Mirroring in Practice
- π Web scrapers like Python
requests
only get encrypted junk β no data to analyze. - π βSave Asβ mirroring creates unusable pages because of encrypted content.
- β‘ Performance: One CPU core can handle 2000+ TPS, even with encrypted pages being up to 160x larger than the original.
3. Rule-Free Detection Beats Signature-Based WAFs
Product | Dynamic Protection | False Positive Rate | 0day Detection | License |
---|---|---|---|---|
SafeLine | β HTML/JS encryption | 0.07% | 98% | Open Source |
ModSecurity | β None | 17.58% | β | Open Source |
Cloudflare WAF | β οΈ Partial obfuscation | 5.2% | 85% | Commercial |
π‘ SafeLine ditches traditional rule sets. Its semantic analysis engine understands intent, even for 0days like Log4j.
π§ From Passive Blocking to Active Deception
1. Dynamic Protection + Human Verification
- 𧬠Dynamic encryption blocks bot parsing.
- π TOTP-based human verification uses browser fingerprinting & JS execution checks to filter real users vs. bots.
- β Tools like AWVS and Nessus are consistently blocked.
2. Real-World Case: Content Theft Prevention
One content platform saw their designs copied in real-time via crawlers. After enabling SafeLine, scrapers only saw garbage data. Result: 40% increase in original content traffic.
3. Compared Globally: Balanced Precision & UX
Product | Detection Rate | Latency | Dynamic Obfuscation |
---|---|---|---|
SafeLine | 99% | <300ms | β Supported |
Incapsula | 88% | >500ms | β οΈ Partial |
Sucuri | 92% | >400ms | β None |
SafeLine delivers high precision without hurting UX, thanks to smart in-browser decryption and semantic logic.
β Final Thoughts
SafeLine WAF isn't just another firewall β it's a modern, AI-driven protection layer for todayβs web. Start protecting your apps with smart defense, not guesswork.
π Github Repo
π Official Docs
π¬ Discord Community
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