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Security Scan Report: global-started.wixstudio.com

Submitted: Apr 14, 2026, 9:03:03 PMCompleted: Apr 14, 2026, 9:04:18 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 9 domains to perform 20 HTTP transactions. The main domain is global-started.wixstudio.com and was registered NaN years ago.

Submitted URL: https://global-started.wixstudio.com/en-desktop

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

The site impersonates Ledger's official page on an unrelated, unranked domain; high risk of brand phishing despite lack of forms.

Risk Factors
Brand impersonation (brand claim vs. domain mismatch)
Unranked domain in Cisco Umbrella
Claim of official status without legitimate ownership
Presence of eval() and Function() calls (suspicious code patterns, though low obfuscation)
Multiple external third‑party resources (potential for hidden tracking)
Safety Factors
Domain age > 9 years (well‑established)
No credential or payment forms
No Indicators of Compromise or malware detections
No network IDS alerts
Low JavaScript obfuscation score
Established domain (3405 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Ledger Live Desktop® — Starting Up Your Device® | Ledger™

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(62%)

Domain Information

Domain 'global-started.wixstudio.com' uses the commercial generic top-level domain (.com) and includes subdomain 'global-started'. The core label 'wixstudio' covers 9 characters containing 4 vowels alongside five consonants. Word splitting yields 3 words: wi, x, studio. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://global-started.wixstudio.com/en-desktop

Page Load Overview

1.25s
Total Load Time
87
HTTP Requests
11
Domains
610 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:98 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical62% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
62%
technology software
35%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15151.101.2.217United States
AS54113Fastly, Inc.
1234.149.206.255Kansas City, Missouri, United States
AS396982Google LLC
1234.49.229.81Kansas City, Missouri, United States
AS396982Google LLC
1234.144.206.118Kansas City, Missouri, United States
AS396982Google LLC
1234.160.37.117Kansas City, Missouri, United States
AS396982Google LLC
1265.8.131.77United States
AS16509
1254.166.189.100Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
877--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7648E74A301B57A4D6331AF6389B70C512D90919D520B2EFAEC916405D7FEA23F3B3A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5dznTQ8IIxl8uZuHuftVcoskwoVIVavKiWjebmlTK4weiwi+n4MUuELfWk12YcwR:5dzE8IYlOouOhi+4we54l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:332445:RXkY3UUBgVFYRLKAGQsHUsMCXAETUDCEAVNIglIEEKBCU/gLKgA4BSaYiIQvEozChENACWsAwKJyOByDAiaxMINkATMWDaSs

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:a6fefeffffffffff
Perceptual Hash:d555772222227773
Difference Hash:0800000000000000
Wavelet Hash:00fe3e3e0e0e0e0e
Color Hash:#78413a

Other Hashes

Crop Resistant:0800000000000000

Scan History

Scan history not available

Unable to load historical scan data