Security Scan Report: collegedunia.com

Submitted: Oct 9, 2025, 7:25:53 PMCompleted: Oct 9, 2025, 7:27:06 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is collegedunia.com.

Submitted URL: https://collegedunia.com/usa/university/1768-walsh-university-north-canton

The Cisco Umbrella rank of the primary domain is #588,023 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns detected.

Safety Factors
Domain collegedunia.com is a known education information site
Low ranking (588,023) does not indicate malicious activity in absence of other threats
No suspicious content or brand impersonation observed
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

ERROR: The request could not be satisfied

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(66%)

Domain Information

Domain 'collegedunia.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'collegedunia' is 12 characters long split between 6 vowels and six consonants. It segments into 3 words: college, duni, a. The median word length lands at four characters. 'colleen' is most common in Hungarian usage. You will also see it in Galician and Portuguese contexts. Taken together, it feels Hungarian.

Screenshot

Security scan screenshot of https://collegedunia.com/usa/university/1768-walsh-university-north-canton

Page Load Overview

14.03s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:553 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical66% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
66%
technology software
46%
cryptocurrency blockchain
30%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.245.46.39United States
AS16509AMAZON-02
018.245.46.91United States
AS16509AMAZON-02
018.245.46.74United States
AS16509AMAZON-02
018.245.46.17United States
AS16509AMAZON-02
24--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B0181AB6ACC202B16233644DFC9BF24D22A18FDE2358014B05980EF21DE760DBE31C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kHksq+Me57SaQSorcUezjIykgxQ4rlOyj9XV88:Cq+t5qI7xQ4d788

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:821:AAAAAAGhEIAAAAAAAAAAgAAAAAAAAAgAIAAAAAAAAAAAQAAAAAAgAAAEYAAAAAAABAAgAAAAAAAAAAACQiEAAAAAAAAAAEAA

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:0707ffffffffffff
Perceptual Hash:87070303c9edcdcf
Difference Hash:ccec000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#9e6ce0

Other Hashes

Crop Resistant:ccec000000000000

Scan History

Scan history not available

Unable to load historical scan data