Security Scan Report: music.unt.edu

Submitted: Dec 24, 2025, 3:01:38 AMCompleted: Dec 24, 2025, 3:06:14 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 59 HTTP transactions. The main domain is music.unt.edu and was registered NaN years ago.

Submitted URL: https://music.unt.edu/people/michael-crawford.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

University staff page with no security concerns.

Safety Factors
Established domain (>39 years old)
Educational institution domain
No credential or payment collection fields
No malicious Indicators of Compromise
Standard hosting environment
Domain age information unavailable

Details

Page Title

Michael Crawford | University of North Texas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(50%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'music.unt.edu' is registered and includes subdomain 'music'. Its registrable label 'unt' stretches across 3 characters with one vowel and 2 consonants. Splitting it apart reveals one word: unt. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://music.unt.edu/people/michael-crawford.html

Page Load Overview

254.43s
Total Load Time
59
HTTP Requests
14
Domains
1.6 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:5,915 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media50% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
50%
education
45%
news media journalism
35%
education learning
32%
government public service
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.58.209.164United States
AS15169GOOGLE
4151.101.65.229United States
AS54113FASTLY
43.5.84.103Boardman, Oregon, United States
AS16509AMAZON-02
434.49.192.216Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
4151.101.1.229United States
AS54113FASTLY
4104.17.24.14United States
AS13335CLOUDFLARENET
413.33.235.113New York, New York, United States
AS16509AMAZON-02
42.20.143.90Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4104.17.25.14United States
AS13335CLOUDFLARENET
4216.58.210.168United States
AS15169GOOGLE
5914--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFA3C583B4E0522B49138BD9B7E8372CB53B944BDA1249A5B2AE101D3FC3FE4595361F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJIq8aJ3lyQPKSvACgDQDf+kfHUEzEsQp:XWvACgDQL+eH/QsQyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99637:IAAAARgCYiATiMBIJMdx8xAINVCDTCg0IxkKCNOCC2IoEBgBABZcASJhoaWuyaFQ4hAFIbSIrUAAAgIwKJQAJFCBkEyuY8Qh

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:ffff81818181dbff
Perceptual Hash:eb81942ec06b3eda
Difference Hash:e0273b1b13333322
Wavelet Hash:7fbf8181818181ff
Color Hash:#673a78

Scan History

Scan history not available

Unable to load historical scan data