Summary
API
Submitted URL: https://profound-melba-9e8767.netlify.app/
AI Security Verdict
Confirmed Scam
Confidence: 93%
Fake Hyperliquid trading interface on a netlify.app subdomain with EtherHiding loader, blockchain RPC activity and a threat-intel wallet-drainer match. Do not connect a wallet.
Risk Factors (5)
Details
Page Title
53,700 | HYPE | Hyperliquid
Scan Type
public
Domain Name Analysis
You're looking at domain 'profound-melba-9e8767.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'profound-melba-9e8767'. Its registrable label 'netlify' stretches across 7 characters with two vowels and five consonants. Word splitting yields 3 words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 22 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 10 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 10 | 143.204.181.94Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 10 | 142.251.20.94Google · CDN | United States | AS15169Google LLC |
| 10 | 34.251.166.204Aws · CLOUD | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 10 | 18.64.211.75Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 10 | 143.204.181.60Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 182 | 17 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
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