Security Scan Report: gettingstart.ghost.io

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Submitted: Dec 20, 2025, 5:21:14 PMCompleted: Dec 20, 2025, 5:21:32 PMpubliccompleted
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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

Legitimate site with no apparent security concerns.

Safety Factors
Long‑standing domain (>14 years)
Established ranking in Cisco Umbrella
No credential‑harvesting or payment collection forms
Content appears to be informational/marketing without deceptive redirects
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 split between one vowel and four 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

1.99s
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
52%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7151.101.129.229United States
AS54113FASTLY
5188.114.96.3United States
AS13335CLOUDFLARENET
5199.232.175.7Stockholm, Stockholm County, Sweden
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:#bfa440

Scan History

Scan history not available

Unable to load historical scan data