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Security Scan Report: gradschool.wayne.edu

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Submitted: Dec 10, 2025, 3:37:24 PMCompleted: Dec 10, 2025, 3:38:30 PMpubliccompleted
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Summary

This website contacted 36 IPs in 4 countries across 14 domains to perform 37 HTTP transactions. The main domain is gradschool.wayne.edu and was registered NaN years ago.

Submitted URL: https://gradschool.wayne.edu/

The Cisco Umbrella rank of the primary domain is #136,046 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university graduate school website with no security concerns.

Safety Factors
Long‑standing university domain
Low risk Cisco Umbrella ranking (136,046) but recognized institutional site
No suspicious forms or hidden fields
Content matches the legitimate Wayne State University Graduate School
Domain age information unavailable

Details

Page Title

Graduate School - Wayne State University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'gradschool.wayne.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'gradschool'. The second-level label 'wayne' is 5 characters long with 2 vowels and three consonants. Segmentation suggests one word: wayne. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gradschool.wayne.edu/

Page Load Overview

17.76s
Total Load Time
37
HTTP Requests
14
Domains
2.1 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:1,422 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.205.35Helsinki, Uusimaa, Finland
AS32934FACEBOOK
1216.58.209.168United States
AS15169GOOGLE
1216.58.209.202United States
AS15169GOOGLE
1216.58.210.131United States
AS15169GOOGLE
1141.217.1.160New Baltimore, Michigan, United States
AS237MERIT-AS-14
1216.239.32.36United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
118.195.235.189Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1108.156.22.89United States
AS16509AMAZON-02
1142.251.38.70United States
AS15169GOOGLE
3736--

Detected Technologies1

Open-Graph-Protocolvarticle
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191F21A7247F0917205D7C1DCAE72AA66BE8AD04BDAB79A40B2FD86506FC2CC5C90F11D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0JzFYQbRsnmUsAc2wF/BK3TYOWkTDhiJ7us6ERJBv6PUbIiTCIsgSh:EFYQbCmUsAdwxBK3TYOWgMJ7us6CTv/2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37086:GgAAQDvVlBEFG8CNhwDeDBQAkgygy8JYskAkCN7OAOICMoAAMpV5oBIhTKqNAQIqgBS0DgU40jUEAIAfIikjIz6CAo8AvJto

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

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