Security Scan Report: www.msmu.edu

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Submitted: Completed: publiccompleted
This website contacted 71 IPs in 5 countries across 47 domains to perform 166 HTTP transactions. The main domain is msmu.edu and was registered 12 years ago.

Submitted URL: https://www.msmu.edu/directory/diana-taylor/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate faculty directory page on the long-established Mount Saint Mary's University domain; self-branded, no credential or payment forms, and no threat-intelligence or malware signals.

Safety Factors (5)
Established 12-year-old .edu domain with self-branding matching the hostname
Physical campus addresses and phone numbers published
No credential or payment collection anywhere on the page
Content classifier identifies the page as education (90% confidence)
No Indicators of Compromise, hunting-rule hits, or IDS alerts
Domain age information unavailable

Details

Page Title

Diana Taylor - MSMU

Scan Type

public

Domain Name Analysis

The domain name 'www.msmu.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Count 4 characters in 'msmu' containing one vowel alongside 3 consonants. Splitting it apart reveals 2 words: m, smu. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.msmu.edu/directory/diana-taylor/

Page Load Overview

5.86s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,421 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2644.226.229.134Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.39.245.229Akamai · CDNAubervilliers, Île-de-France, France
AS16625Akamai Technologies, Inc.
23.163.248.4Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2143.204.173.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.64.211.46Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
232.187.51.195Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
16671--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FD37533A4E420BA107362CAF7B9CB46E9F24003DA165891F2DC56DC5FE9E835527E6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ns9l227MTQgJTernB8gFpVS6l3YOnBnxXnw8ki+lfn:Ns9l23TQgJTernB8gFpVS6l3n7gztxn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136987:AmIGwAQhGHMBUFJIAYLIg2LKyQIEMZkUKJBhoFgECjo24QTHQNMU1A4FBBYs0ZcBwDhOBAQFTYTQDZBJAjDmCqDsgAIEkJ/N

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:42001818180000ff
Perceptual Hash:8875b723dd48f84a
Difference Hash:9686313169555531
Wavelet Hash:5fc3d9193d0100ff
Color Hash:00000c00008

Scan History

Scan history not available

Unable to load historical scan data