Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is sdffht3.pages.dev and was registered NaN years ago.
Submitted URL: https://sdffht3.pages.dev/registries?ref_=nav_cs_registry&ref_=nav_cs_registry
AI Security Verdict
High Risk
Confidence: 70%
Page impersonates Amazon brand but lacks credential collection; moderate risk due to brand mismatch and redirects.
Risk Factors
Details
Page Title
Amazon Registry & Gifting
Scan Type
public
Language
English
Category
e-commerce shopping
(43%)Domain Information
Domain 'sdffht3.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sdffht3'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Tokenizing the label suggests one word: pages. 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 |
|---|---|---|---|
| 36 | 3.174.47.55Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 35 | 172.66.44.173Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 35 | 54.82.221.88Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 106 | 3 | - | - |
Detected Technologies9
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
Scan history not available
Unable to load historical scan data