Security Scan Report: getuser.ghost.io

Submitted: Jan 22, 2026, 7:31:12 PMCompleted: Jan 22, 2026, 7:32:21 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is getuser.ghost.io and was registered NaN years ago.

Submitted URL: https://getuser.ghost.io/desktop-en/

The Cisco Umbrella rank of the primary domain is #42,708 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Site impersonates Ledger brand on an unrelated domain; treat as phishing.

Risk Factors
Brand impersonation: Ledger brand claimed on unrelated domain
Potential phishing due to misleading meta tags
Domain age information unavailable

Details

Page Title

Ledger Live Desktop — Secure Cryptocurrency Management

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'getuser.ghost.io' is registered with subdomain 'getuser'. The registrable portion 'ghost' spans 5 characters split between one vowel and four consonants. Breaking it apart gives one word: ghost. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getuser.ghost.io/desktop-en/

Page Load Overview

0.71s
Total Load Time
14
HTTP Requests
2
Domains
592 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:5,819 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%
news/blog
45%
cryptocurrency blockchain
44%
corporate
35%
cryptocurrency
22%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7146.75.123.7Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7104.16.175.226United States
AS13335CLOUDFLARENET
142--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103C2E66B56E1153D0213029EBAE7B78DEE269807E5DD0890B2FC826D5FC2CE68533D5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tydG4Jg0SaCtiqjsPmO3qqquEkdwfc42hMBR0jo13avDz:0Y4JbSaCtiek31qubePkMBEo13avDz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26665:RMNAGGQsAZDSNIdUeIbRzSCAEoBLFjSAghpA6AlBCc0QHBBABklGpVQXpBEAQzAHA6wDzt7ZTICGQQjJeCIgB2kcOeCIo7pJ

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:fdc7c7c7c3ffc7c7
Perceptual Hash:b04acbcbcacaca72
Difference Hash:491c1c141e141e1c
Wavelet Hash:a0c2c3c3c3cfc3c7
Color Hash:#c5ab87

Other Hashes

Crop Resistant:491c1c141e141e1c

Scan History

Scan history not available

Unable to load historical scan data