Security Scan Report: www.memphis.edu

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Submitted: Oct 12, 2025, 10:00:52 PMCompleted: Oct 12, 2025, 10:02:17 PMpubliccompleted
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Summary

This website contacted 151 IPs in 5 countries across 40 domains to perform 122 HTTP transactions. The main domain is memphis.edu and was registered NaN years ago.

Submitted URL: https://www.memphis.edu/chem/people/faculty/jermaine-johnson.php

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate faculty profile page on an established university domain.

Safety Factors
Established academic institution domain
Consistent branding with University of Memphis
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

www.memphis.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'www.memphis.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'www'. Its registrable label 'memphis' stretches across 7 characters holding 2 vowels versus 5 consonants. Splitting it apart reveals 1 word: memphis. Expect seven characters per word on average. Most frequently, 'memphis' shows up in Danish. Secondary signals appear in Icelandic and Norwegian.

Screenshot

Security scan screenshot of https://www.memphis.edu/chem/people/faculty/jermaine-johnson.php

Page Load Overview

25.67s
Total Load Time
122
HTTP Requests
40
Domains
2.2 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:5,867 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
122142.250.185.234United States
AS15169GOOGLE
064.233.184.154United States
AS15169GOOGLE
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
0142.250.184.234United States
AS15169GOOGLE
0184.24.77.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
087.248.119.252United Kingdom
AS203220Yahoo-UK Limited
0142.250.185.104United States
AS15169GOOGLE
018.245.46.73United States
AS16509AMAZON-02
0104.21.27.152United States
AS13335CLOUDFLARENET
052.223.40.198United States
AS16509AMAZON-02
122151--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2831B236E80683B42A3848A9136E78E6657811BDD039C94F5EDD3D02FCDF990D9BB1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:H9ugely9dOZAW+paXkKuXeDglBCpucIpMm2B2dkCPJOUCyN6hqg7WOYwdocKe1Ki:delk+gBCPnmtczX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81886:JECDAkfDJA4EMCTBDACTDgyEozIhUxbiq1AEOE4GJAAM5ASUEYEOyARC6GCoAATfqqewAG3wY0iIFkECxsEcCCBJoBAKNgRA

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:0000fff7f7f70703
Perceptual Hash:a45b1b6e2430cf97
Difference Hash:277964a666e7ae4e
Wavelet Hash:0000fff7f7f30303
Color Hash:#1f2593

Scan History

Scan history not available

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