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Security Scan Report: ledgliveus.wixstudio.com

Submitted: May 1, 2026, 8:28:46 AMCompleted: May 1, 2026, 8:29:57 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 9 domains to perform 34 HTTP transactions. The main domain is ledgliveus.wixstudio.com and was registered NaN years ago.

Submitted URL: https://ledgliveus.wixstudio.com/en-us

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site impersonates Ledger’s brand on an unranked Wix subdomain without collecting credentials, posing a high‑risk phishing threat.

Risk Factors
Brand impersonation (Ledger) on an unrelated, unranked domain
Misleading meta tags presenting the site as an official Ledger page
Use of eval() and Function() constructors in JavaScript
Unranked domain reputation (not in Cisco Umbrella top 1 M)
Safety Factors
Domain age of over 9 years (well‑established)
No login, credential, or payment forms detected
No Indicators of Compromise matches in threat intelligence databases
No JavaScript malware YARA patterns detected
No network IDS alerts
Established domain (3421 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Official Site® | Ledger Live | Getting started*

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(43%)

Domain Information

The domain 'ledgliveus.wixstudio.com' uses the commercial generic top-level domain (.com), featuring subdomain 'ledgliveus'. The registrable portion 'wixstudio' spans 9 characters split between four vowels and five consonants. Splitting it apart reveals 3 words: wi, x, studio. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ledgliveus.wixstudio.com/en-us

Page Load Overview

0.92s
Total Load Time
83
HTTP Requests
8
Domains
541 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:88 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism43% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
43%
real estate property
33%
finance banking
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.144.206.118Kansas City, Missouri, United States
AS396982Google LLC
1134.149.206.255Kansas City, Missouri, United States
AS396982Google LLC
1165.8.131.125United States
AS16509Amazon.com, Inc.
1144.198.133.63Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
11151.101.2.217United States
AS54113Fastly, Inc.
1134.49.229.81Kansas City, Missouri, United States
AS396982Google LLC
1134.160.37.117Kansas City, Missouri, United States
AS396982Google LLC
837--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106748EB4A701F13A4E2331AF5389BB0C513D90515D524A2EFAEC916415D7FEA22E3B3A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MdzK6TQ8IIxlGuZuHuKtVcosWtVcosCaZxFTqYtsbebmlTK4weiwi+n4fS5S8qLZ:MdzKP8IYlVB2II+4we54CcEG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:338567:qECKAMRi2owqUYUQAICZRICpKN6MAiCGAZwZA7zgChEXgjkKAhgICZEMzA2iAAAwEQFIiKFIOEEBECEIx8RZVTAGIYKAEwkA

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

Average Hash:ff818181818181ff
Perceptual Hash:ea2a956ac46ec03f
Difference Hash:4101010501010101
Wavelet Hash:ff81c1e181c181ff
Color Hash:#6ce0ac

Other Hashes

Crop Resistant:4101010501010101,3116810121818101

Scan History

Scan history not available

Unable to load historical scan data