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Security Scan Report: live-en-legde.wixstudio.com

Submitted: Apr 25, 2026, 4:28:15 AMCompleted: Apr 25, 2026, 4:29:26 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 9 domains to perform 22 HTTP transactions. The main domain is live-en-legde.wixstudio.com and was registered NaN years ago.

Submitted URL: https://live-en-legde.wixstudio.com/en-us

AI Security Verdict

Moderate Risk

Confidence: 88%

5
Risk Score

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

Risk Factors
Brand impersonation (brand claim vs. domain mismatch)
Unranked domain with major brand name
Dynamic JavaScript execution (eval, Function constructor)
Potential malicious download site (no download link visible but implied)
Old domain age does not mitigate brand mismatch
Safety Factors
Domain age >9 years (well‑established)
No forms or credential collection
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network IDS alerts
Established domain (3415 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Ledger Live Download® | Official Ledger Mobile & Desktop Application

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'live-en-legde.wixstudio.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'live-en-legde'. The core label 'wixstudio' covers 9 characters split between four vowels and 5 consonants. Splitting it apart reveals 3 words: wi, x, studio. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.98s
Total Load Time
84
HTTP Requests
8
Domains
570 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:205 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1234.144.206.118Kansas City, Missouri, United States
AS396982Google LLC
12151.101.66.217United States
AS54113Fastly, Inc.
1234.49.229.81Kansas City, Missouri, United States
AS396982Google LLC
1234.160.37.117Kansas City, Missouri, United States
AS396982Google LLC
1265.8.131.76United States
AS16509Amazon.com, Inc.
1234.149.206.255Kansas City, Missouri, United States
AS396982Google LLC
123.232.120.250Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
847--

Detected Technologies7

MetaGenerator
100%
Wix
60%
React
50%
Google Cloud
50%
HTTP/3
40%
HSTS
40%
Google Cloud CDN
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15724A0F52B12B83D03F602DFA42767087269401569858468F2ECC5E927F5E8B13E7B7B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/eOAmYQbiebmlTK4weiwi+n45RlSWm12YtwC++5:Z5pi+4we54Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:211900:0SWkAWkIjkAAkkArggpQUAJRCcMQQUGlkKwgwSABDQ6RsKpUApMxAAnMkVAQCKGIioCG60oCgrAKSQMyGBSBAkCBVgQVgLUE

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:047fffffffe7e7ff
Perceptual Hash:830103230d77df7f
Difference Hash:c880000000080c00
Wavelet Hash:00fe0000fcfce4fc
Color Hash:#4051bf

Other Hashes

Crop Resistant:c880000000080c00

Scan History

Scan history not available

Unable to load historical scan data