Security Scan Report: www.queens.edu

Submitted: Jan 2, 2026, 5:37:59 PMCompleted: Jan 2, 2026, 5:42:08 PMpubliccompleted
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Summary

This website contacted 26 IPs in 3 countries across 23 domains to perform 79 HTTP transactions. The main domain is queens.edu and was registered NaN years ago.

Submitted URL: https://www.queens.edu/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 30 years (well‑established)
Official university domain (queens.edu)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Content aligns with legitimate university branding
Domain age information unavailable

Details

Page Title

Welcome to Charlotte's University - Queens University of Charlotte

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.queens.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Count 6 characters in 'queens' holding 3 vowels versus three consonants. Word splitting yields one word: queens. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.queens.edu/

Page Load Overview

245.40s
Total Load Time
79
HTTP Requests
0
Domains
N/A
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-US
Text Length:4,475 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3523.185.0.3United States
AS54113FASTLY
535.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
518.245.86.47United States
AS16509AMAZON-02
534.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
3142.250.186.168United States
AS15169GOOGLE
3108.138.7.123United States
AS16509AMAZON-02
354.70.90.175Boardman, Oregon, United States
AS16509AMAZON-02
318.245.86.116United States
AS16509AMAZON-02
3142.250.186.132United States
AS15169GOOGLE
318.66.102.51United States
AS16509AMAZON-02
026--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD245CF7624071FD83E387E8C233A101322EC45DE652C9A476AC44E0EDDEFD9A916A75

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ra4qa480vElDFL+Aliji+re7FCUN+Os1oMzX:SclDYFyi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:212186:ojk1BIxLeWBQspuweqAwFQ6A8CEICwAEgAaCOQCaDANgAQygEgMSwIFAAnpUToAIADCEjIgAwEI3QgAQlvpA4ERiIbVgSTre

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:00001c1c1f070707
Perceptual Hash:a44b30b649dab799
Difference Hash:d4c5f1e1766eee9e
Wavelet Hash:42473f3f1f070707
Color Hash:#6053ac

Scan History

Scan history not available

Unable to load historical scan data