Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is us-learn-ledgr.pages.dev and was registered 6 years ago.
Submitted URL: https://us-learn-ledgr.pages.dev/
AI Security Verdict
High Risk
Confidence: 68%
Unofficial 'Ledger Start' guide using Ledger's brand on a typosquatted pages.dev subdomain; no credential form or malware detected, but brand impersonation on an unranked host makes it untrustworthy.
Risk Factors (4)
Details
Page Title
Ledger Start — Official Getting Started Guide
Scan Type
public
Domain Name Analysis
You're looking at domain 'us-learn-ledgr.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'us-learn-ledgr'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Word splitting yields 1 word: pages. Average segment length settles at 5 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 |
|---|---|---|---|
| 1 | 172.66.47.72Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 172.66.44.184Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 2 | - | - |
Detected Technologies3
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