Security Scan Report: gettingstart.ghost.io

Submitted: Dec 20, 2025, 10:53:43 AMCompleted: Dec 20, 2025, 10:54:07 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 17 HTTP transactions. The main domain is gettingstart.ghost.io and was registered NaN years ago.

Submitted URL: https://gettingstart.ghost.io/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no suspicious activity.

Safety Factors
Standard hosting (not IPFS or cloud storage)
No noindex meta tags
No critical phishing indicators detected
Domain age information unavailable

Details

Page Title

gettingstart

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(92%)

Domain Information

The domain name 'gettingstart.ghost.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'gettingstart'. The core label 'ghost' covers 5 characters containing 1 vowel alongside 4 consonants. Word splitting yields one word: ghost. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gettingstart.ghost.io/

Page Load Overview

6.45s
Total Load Time
17
HTTP Requests
3
Domains
1.3 MB
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:5,079 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
92%
cryptocurrency blockchain
88%
finance banking
66%
documentation technical
55%
blog personal website
49%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7188.114.96.3United States
AS13335CLOUDFLARENET
5199.232.175.7Stockholm, Stockholm County, Sweden
AS54113FASTLY
5151.101.65.229United States
AS54113FASTLY
173--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4D2C63A25F1153E961303C969E67348EFB28083E55C4CE5B2FD92745FC2DA662339AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aFCpgCtsUbRno13avpw8waPXy4vPly8WyDcjo13avs:aFCawo13au0IEDZ13aU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28882:CIRLI5BwGBlPaDEYCCAMO8FEYIGGuIRVAFwR3KHHIlgEEMVAdAbQxECEHuAAhEgakTACTZgpKFgJNwLioTAShpEicBDQOBaD

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:ff00000000ffffff
Perceptual Hash:880af3f3caccccc3
Difference Hash:69fff3f3df081f1e
Wavelet Hash:ff00000000ffffff
Color Hash:#bf4079

Scan History

Scan history not available

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