Security Scan Report: www.morgan.edu

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Submitted: Oct 12, 2025, 12:17:40 PMCompleted: Oct 12, 2025, 12:19:14 PMpubliccompleted
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Summary

This website contacted 96 IPs in 3 countries across 25 domains to perform 65 HTTP transactions. The main domain is morgan.edu and was registered NaN years ago.

Submitted URL: https://www.morgan.edu/news/inside-mackenzie-scotts-no-strings-attached-philanthropy

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page appears to be a legitimate university news article with no security concerns.

Safety Factors
Hosted on a long‑standing university domain (morgan.edu)
Content matches a typical university news article
Only standard search/translation forms present
Domain age information unavailable

Details

Page Title

Inside MacKenzie Scott’s ‘No Strings Attached’ Philanthropy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'www.morgan.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. The core label 'morgan' covers 6 characters holding two vowels versus 4 consonants. Breaking it apart gives one word: morgan. The linguistic tilt is Catalan for 'morgan'. It also appears in Norwegian and Swedish contexts.

Screenshot

Security scan screenshot of https://www.morgan.edu/news/inside-mackenzie-scotts-no-strings-attached-philanthropy

Page Load Overview

34.98s
Total Load Time
65
HTTP Requests
25
Domains
1.7 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:5,294 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
50%
news
30%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0188.114.97.3United States
AS13335CLOUDFLARENET
0142.250.185.131United States
AS15169GOOGLE
0104.18.1.22United States
AS13335CLOUDFLARENET
052.223.40.198United States
AS16509AMAZON-02
0216.239.38.178United States
AS15169GOOGLE
03.171.214.6United States
AS16509AMAZON-02
0208.115.107.207Tukwila, Washington, United States
0104.26.8.123United States
AS13335CLOUDFLARENET
03.122.28.46Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
015.197.193.217Seattle, Washington, United States
AS16509AMAZON-02
6596--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D439211AAE0DC2681DB89C45573A2296EBA4307D50328D8FDBC87F45FAED6DCA3344D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:adGA3M3AQqOHRoHqJUGIEdgFzqEJo8FZK1a0r8KCAgGkJZUo1D6LThRX6LThRdy1:adTMQdOHRIo8FIk0rwfJl1gg5yFJ72w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55866:0jUIAZFrEhII4iigDEySKQR2DE4FvYHZfygiwDYygiDATgySE4oLGE4C5owBDggEa4ZBiSIFgaRrAAMykyQigIBBQA2YBANI

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:470707c7ffffffff
Perceptual Hash:b03081c9cdfecccd
Difference Hash:8c8c8c0c3a3e2e02
Wavelet Hash:060707878fc387fb
Color Hash:#bfae40

Scan History

Scan history not available

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