Security Scan Report: hooslist.virginia.edu

Submitted: Mar 23, 2026, 6:55:01 PMCompleted: Mar 23, 2026, 6:56:13 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is hooslist.virginia.edu and was registered NaN years ago.

Submitted URL: https://hooslist.virginia.edu/

The Cisco Umbrella rank of the primary domain is #58,480 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate university class schedule site with no security concerns.

Safety Factors
HTTPS connection
Established domain owned by University of Virginia
No credential or payment collection
No malicious JavaScript or IDS alerts
Domain age information unavailable

Details

Page Title

Home Page - HoosList

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'hooslist.virginia.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'hooslist'. The core label 'virginia' covers 8 characters split between 4 vowels and 4 consonants. Word splitting yields 1 word: virginia. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hooslist.virginia.edu/

Page Load Overview

2.42s
Total Load Time
13
HTTP Requests
2
Domains
187 KB
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:5,440 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
720.119.128.25Boydton, Virginia, United States
AS8075Microsoft Corporation
6104.16.175.226United States
132--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCF3A7F042CC0CFD885293C6A4246B9678FF9E71F9A7D5E6F3BB870052D6C81A885479

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WyN2xY3bco+svlkZrqxdoKZGblxH92xY3bco+svlkZrqxdoKZGblxHXU/fl7qnc3:/nBGr3BGrXUII

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:170831:AkUKgBNhEyxIGAFARgFkARLDR+kXiQAkM4oZgh8EhNdMiYQOHQQMDTMSlIhQTAagIzRHQYGETgWCFAIlgjZJkgBGgAAAzCIk

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:00fff3ffff818181
Perceptual Hash:edc43a3a93256d49
Difference Hash:852626642b232b2b
Wavelet Hash:00f7f3ffd9818181
Color Hash:#79d2a0

Scan History

Scan history not available

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