Security Scan Report: neo.edu

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Submitted: Dec 11, 2025, 2:58:35 AMCompleted: Dec 11, 2025, 2:59:25 AMpubliccompleted
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Summary

This website contacted 106 IPs in 3 countries across 19 domains to perform 77 HTTP transactions. The main domain is neo.edu and was registered NaN years ago.

Submitted URL: https://neo.edu/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Home - Northeastern Oklahoma A&M CollegeNortheastern Oklahoma A&M College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(48%)

Domain Information

The domain name 'neo.edu' uses the sponsored educational top-level domain (.edu) with no subdomain. Its registrable label 'neo' stretches across 3 characters split between two vowels and 1 consonant. It segments into one word: neo. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://neo.edu/

Page Load Overview

12.40s
Total Load Time
77
HTTP Requests
19
Domains
4.5 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:6,726 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning48% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
48%
education
45%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7723.2.13.51Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.250.185.118United States
AS15169GOOGLE
0142.250.185.70United States
AS15169GOOGLE
0172.217.23.100United States
AS15169GOOGLE
0109.228.51.133United Kingdom
AS8560IONOS SE
0216.58.206.54United States
AS15169GOOGLE
0142.250.186.110United States
AS15169GOOGLE
0142.250.185.174United States
AS15169GOOGLE
0172.217.18.1United States
AS15169GOOGLE
0109.61.86.193Boston, Massachusetts, United States
AS60068Datacamp Limited
77106--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106C3B7F2928C2C3E810363C955157299609FCE37DA2188E2F1FF86199FC1DA2945B5BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RdrCp7nZUapWX5Vv4qxjk7b59r6sMZzoDxtsmpS2qZB4XN4CRt14kdfXhqu5nInq:8LZz2Tv4qG7bjDyQfeAtITqB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124569:hUSaAAIyLIIJZMPCKUGCCCEHgWKCEjImCICYXAkMQzFgM0IAwnaOkstggEBcQwaAiRwCoFkwE0mJNAEMZl9EE9hGgVGCAgJA

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:400000240000fff3
Perceptual Hash:e210ed116f936ad3
Difference Hash:999489c9c9896723
Wavelet Hash:7d06647c0000ffff
Color Hash:#1f9327

Scan History

Scan history not available

Unable to load historical scan data