Security Scan Report: learn-hub.ghost.io

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Submitted: Feb 9, 2026, 6:41:05 AMCompleted: Feb 9, 2026, 6:42:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is learn-hub.ghost.io and was registered NaN years ago.

Submitted URL: https://learn-hub.ghost.io/suite/

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 security concerns; currently unreachable but no malicious indicators.

Safety Factors
Well‑established domain (>14 years old)
High Cisco Umbrella ranking (top 100k)
Absence of malicious Indicators of Compromise
No suspicious forms or payment fields
No JavaScript malware patterns
Domain age information unavailable

Details

Page Title

learn-hub.ghost.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Domain 'learn-hub.ghost.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'learn-hub'. Its registrable label 'ghost' stretches across 5 characters holding one vowel versus four consonants. Splitting it apart reveals one word: ghost. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://learn-hub.ghost.io/suite/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
55%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.123.7Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0048F77329A063985558498F05B43099F21B143F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8OldH:phoC9JSqzzbs6o3Sj3gcrsw2eA9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184499:0U6FiigFVRQsAIUUg5sASA9wCAAiDxhICRBDCEQAKEhQYBQBJC/ldwPgFYEQYggHyiIoN0MBkLqJmgVRCqgoCwiIKQY7AwQY

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#53ac8e

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data