Security Scan Report: www.colorado.edu

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Submitted: Oct 30, 2025, 9:13:58 AMCompleted: Oct 30, 2025, 9:15:31 AMpubliccompleted
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Summary

This website contacted 98 IPs in 4 countries across 39 domains to perform 113 HTTP transactions. The main domain is colorado.edu and was registered NaN years ago.

Submitted URL: https://www.colorado.edu/business/leeds-directory/shuai-zhang

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate university directory with no security concerns.

Safety Factors
Established .edu domain with long registration history
Official university branding and URL structure
Only standard search form present
Domain age information unavailable

Details

Page Title

Shuai Zhang | Leeds School of Business | University of Colorado Boulder

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Domain 'www.colorado.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. The registrable portion 'colorado' spans 8 characters holding four vowels versus four consonants. Breaking it apart gives one word: colorado. The median word length lands at eight characters. 'colorado' is most common in Catalan usage. It also appears in Danish and German contexts.

Screenshot

Security scan screenshot of https://www.colorado.edu/business/leeds-directory/shuai-zhang

Page Load Overview

20.10s
Total Load Time
113
HTTP Requests
39
Domains
2.7 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:12,098 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.250.185.110United States
AS15169GOOGLE
1108.138.7.123United States
AS16509AMAZON-02
1150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
169.25.199.41United States
AS14742INTERNAP-BLOCK-4
134.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.185.99United States
AS15169GOOGLE
118.66.112.13United States
164.233.184.157United States
AS15169GOOGLE
1142.250.186.162United States
AS15169GOOGLE
11398--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9D3B9A1F4985036523B0ACDF075A728B1E7934FC7470885BAF9CBA41F8DD968973392

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oM1MAMGMuMjMrMvQMIE0MKA+geD8sQUYKx1rwfJQD0iKACS4D8siU6VMpzOSGUZz:eupv1oF+UZI7aCKvCKZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136075:IgCi0hwwUyEGIljezAAERBuIAAFBgCEGhyBiISnQkwMkaGOCkhlER0AUWAqxN0IQGRQo8BgGQYSMQIUJYIRCTISwlplLEIgk

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:00ffff9fdfff0000
Perceptual Hash:bcbd43413c3aed60
Difference Hash:dc5c3237303c8da5
Wavelet Hash:00ffbf9f9f9e0000
Color Hash:#40bfae

Scan History

Scan history not available

Unable to load historical scan data