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Security Scan Report: apply.gvsu.edu

Redirected to:
https://www.gvsu.edu/admissions
Site favicon
Submitted: Sep 20, 2026, 10:41:05 AMCompleted: Sep 20, 2026, 10:41:54 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/18a3b55e-4c75-494e-bf77-57513da856ddDomain and IP registration (RDAP)/api/v1/rdap/18a3b55e-4c75-494e-bf77-57513da856ddCertificate Transparency/api/v1/ct/gvsu.eduHow often this domain was scanned/api/v1/domain/stats/apply.gvsu.eduScan history for this domain/api/v1/domain/history/apply.gvsu.edu?limit=15

This website contacted 43 IPs in 2 countries across 33 domains to perform 91 HTTP transactions. The main domain is gvsu.edu and was registered 30 years ago.

Submitted URL: https://apply.gvsu.edu

Effective URL:

https://www.gvsu.edu/admissions
Redirected

The Cisco Umbrella rank of the primary domain is #160,393 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Grand Valley State University admissions page on an established .edu domain. No phishing, malware, or credential-harvesting indicators found.

Safety Factors
Established 35-year-old domain
Official university admissions website with physical address and legal information
No credential or payment harvesting forms
No threat intelligence matches or JavaScript malware patterns
Domain age information unavailable

Details

Page Title

Admissions - Grand Valley State University

Scan Type

public

Domain Name Analysis

You're looking at domain 'apply.gvsu.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'apply'. Its registrable label 'gvsu' stretches across 4 characters split between one vowel and 3 consonants. Segmentation suggests 3 words: g, vs, u. Median word length comes out to 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apply.gvsu.edu

Page Load Overview

4.52s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:39,004 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning74% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
74%
government public service
66%
education
45%
adult content
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.17.88.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
234.198.122.35Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.87.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
2108.138.7.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9143--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A051C5F3780E84192182896375F27AF8D85A2D3FB1A898D1FDA300ABD8C87DD8455F5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TUpnzsFieuclYlY9zo6N7TNchMv8+At/ioBAHwIIl:TysPjzOhM8+At/ioBAQ7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2481:AAgAAgQAgBBAAEQAkQABQAAAiAQACAAAAiEQAAwUMICAgAAAAAAAIIBAQgAQAgBQAgABICACAAAAIEQIAQAhgACIACIAAoAA

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

Scan History

Scan history not available

Unable to load historical scan data