Security Scan Report: admissions-nsuok-edu.cdn.technolutions.net

Redirected to:
https://offices.nsuok.edu/admissions/
Site favicon
Submitted: Oct 6, 2026, 2:20:44 AMCompleted: Oct 6, 2026, 2:22:02 AMpubliccompleted

This website contacted 49 IPs in 2 countries across 36 domains to perform 107 HTTP transactions. The main domain is offices.nsuok.edu and was registered 5 years ago.

Submitted URL: https://admissions-nsuok-edu.cdn.technolutions.net

Effective URL:

https://offices.nsuok.edu/admissions/
Redirected

The Cisco Umbrella rank of the primary domain is #9,751 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Official Northeastern State University admissions page on nsuok.edu. No credential/payment forms, no impersonation, no Indicators of Compromise, YARA or IDS hits. The technolutions.net entry host is a routine CRM redirect.

Safety Factors (5)
Page is self-branded as Northeastern State University on the university's own registered domain (nsuok.edu)
Content is genuine admissions/recruitment material (degrees, scholarships, campus locations, events, contact info)
No credential-collecting or payment forms; the only form is an internal site search
No threat-intelligence, YARA, kit-roster, or network IDS findings
Third-party scripts all come from well-known top-1M ranked analytics/advertising/CDN services
Domain age information unavailable

Details

Page Title

Admissions and Recruitment | Northeastern State University

Scan Type

public

Domain Name Analysis

Domain 'admissions-nsuok-edu.cdn.technolutions.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'admissions-nsuok-edu.cdn'. Its registrable label 'technolutions' stretches across 13 characters containing five vowels alongside eight consonants. Segmentation suggests four words: techno, lu, t, ions. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://admissions-nsuok-edu.cdn.technolutions.net

Page Load Overview

18.74s
Total Load Time
15.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,380 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning79% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
79%
adult content
47%
education
45%
government public service
44%
forum community discussion
26%

Detected Features

Search
Schema.org

Domain & IP Information

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11209.41.64.51United States
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2172.66.144.150Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2108.138.7.62Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.250.154.113Google · CDNUnited States
AS15169Google LLC
10749--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176518A57AF6081FD4E82EA0694B933F1DFEA414E726014C4FD5E06298787B9E010D7B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T0FmVOB80BXzriniEiNLiNqFXiWzieiWzijiui9iW4kAUTainisiUiziHiOXiWTx:TyQiJNeNqUrrr2boRUTPix5mCbCJPGDc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2773:gIACgEUAACAAAABCCAACgAOAgQAIJACAACQCAAQSAAAIQICATCEAgECEggECAigSCAAAQQISAAgBBACDAAAAAAAAhRARBAAG

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:e218187bffff9f9f
Perceptual Hash:8a4b3cf5b5614a1e
Difference Hash:8e6161f3000d2d31
Wavelet Hash:00181879ffc78f1f
Color Hash:#d2797e

Scan History

Scan history not available

Unable to load historical scan data