Security Scan Report: www.weuni.com

Submitted: Dec 19, 2025, 8:26:14 PMCompleted: Dec 19, 2025, 8:27:14 PMpubliccompleted
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Summary

This website contacted 37 IPs in 4 countries across 21 domains to perform 225 HTTP transactions. The main domain is weuni.com and was registered NaN years ago.

Submitted URL: https://www.weuni.com/en/institutions/college-of-charleston/

AI Security Verdict

AI analysis unavailable for this scan

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Attention Required! | Cloudflare

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Domain 'www.weuni.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'weuni' is 5 characters long split between 3 vowels and 2 consonants. Breaking it apart gives 2 words: we, uni. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.weuni.com/en/institutions/college-of-charleston/

Page Load Overview

4.76s
Total Load Time
225
HTTP Requests
21
Domains
1.9 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:12,871 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
71%
government public service
48%
entertainment media
43%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1303.164.68.105United States
AS16509AMAZON-02
2813.33.235.74New York, New York, United States
AS16509AMAZON-02
193.174.113.30United States
AS16509AMAZON-02
10216.58.209.195United States
AS15169GOOGLE
9104.16.174.226United States
AS13335CLOUDFLARENET
83.174.113.107United States
AS16509AMAZON-02
63.174.113.6United States
AS16509AMAZON-02
613.33.235.90New York, New York, United States
AS16509AMAZON-02
63.174.113.61United States
AS16509AMAZON-02
63.164.68.87United States
AS16509AMAZON-02
22537--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CBB183767EBD213E10A381A236BDA3483EB0D013DB67059072ACC5391F5EF56BD2B598

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ljHjCIjuTkDa/D+DMFWC8FhZqXKHvpIkdl4nR83vaQxvbbmBnx/I6:ljHjDjusa/SoWnQaHvFdl4ne3CejbmnN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5552:NQRQAqQICqAAoEQAARADpgASCAFSESgkKAIAAaUYBIgEAHBAAAQAQQigJCCgB0SSIAhFAwygAmsqAARIMBRAAUIAAAYiBA8E

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:e7ff0040e7ffff83
Perceptual Hash:b7748c94637948d3
Difference Hash:0e344dcc8ca95b63
Wavelet Hash:87970040e7ffcf03
Color Hash:#bf40a6

Scan History

Scan history not available

Unable to load historical scan data