Security Scan Report: gospelmusic.org

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Submitted: Dec 23, 2025, 5:04:57 PMCompleted: Dec 23, 2025, 5:06:00 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 32 domains to perform 138 HTTP transactions. The main domain is gospelmusic.org and was registered NaN years ago.

Submitted URL: https://gospelmusic.org/news/natalie-grant-on-good-morning-america

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Standard informational page with no credential collection
Domain age information unavailable

Details

Page Title

Natalie Grant on Good Morning America

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(95%)

Domain Information

Domain 'gospelmusic.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The core label 'gospelmusic' covers 11 characters holding four vowels versus 7 consonants. Breaking it apart gives two words: gospel, music. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gospelmusic.org/news/natalie-grant-on-good-morning-america

Page Load Overview

7.08s
Total Load Time
138
HTTP Requests
32
Domains
2.7 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:3,027 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media95% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
95%
news media journalism
85%
news/blog
35%
corporate
35%
news
15%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.251.141.104United States
AS15169GOOGLE
4157.240.253.63Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4162.159.140.229United States
AS13335CLOUDFLARENET
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.185.66United States
AS15169GOOGLE
4104.17.128.172United States
AS13335CLOUDFLARENET
4199.60.103.126United States
AS209242Cloudflare London, LLC
4104.16.77.142United States
AS13335CLOUDFLARENET
4172.217.18.4United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
13831--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166E33C63A0E13422811380A5935977397DBAC10BE78DAD94B5EC63758FC2EC7DEA325C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rmueF9s/HVbceBMHhEpgmjM7b7EvRmMhTjtbuCsExizpTmdtOm94iPioCwx72:rXkQEgsExiQd/94iPib

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151542:BlBAAawcRUQAhAlAANA4QohAC2HAC6xAyzkFRFgEFMEkRFqCMEdMsiAFIRaCoZg0DBIYzQlBwk2ggAJYOY8IAAwSoAGA8AQQ

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:00ffffff000000ff
Perceptual Hash:ecb1ec46734cb170
Difference Hash:a21636a9cda5a595
Wavelet Hash:00ffffff000000ff
Color Hash:#94c587

Scan History

Scan history not available

Unable to load historical scan data