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Security Scan Report: www.wrhi.com

Submitted: Jan 5, 2026, 10:39:08 PMCompleted: Jan 5, 2026, 10:40:26 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 7 domains to perform 75 HTTP transactions. The main domain is wrhi.com and was registered NaN years ago.

Submitted URL: https://www.wrhi.com/2025/12/university-of-phoenix-data-breach-hits-south-carolina-over-64000-residents-affected-208840

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article; no security concerns detected.

Safety Factors
Established domain with minimal reputation risk
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

University of Phoenix Data Breach Hits South Carolina: Over 64,000 Residents Affected – WRHI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

The domain 'www.wrhi.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'wrhi' is 4 characters long split between 1 vowel and 3 consonants. Word splitting yields two words: wr, hi. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wrhi.com/2025/12/university-of-phoenix-data-breach-hits-south-carolina-over-64000-residents-affected-208840

Page Load Overview

5.71s
Total Load Time
91
HTTP Requests
7
Domains
1.1 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-US
Text Length:5,955 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
corporate
35%
technology software
27%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1020.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
952.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
9104.16.80.73United States
AS13335CLOUDFLARENET
913.107.213.44United StatesUnknown
9104.16.79.73United States
AS13335CLOUDFLARENET
9188.114.97.3United States
AS13335CLOUDFLARENET
9104.26.10.16United States
AS13335CLOUDFLARENET
9104.18.18.62United StatesUnknown
9188.114.96.3United States
AS13335CLOUDFLARENET
9172.67.75.100United States
AS13335CLOUDFLARENET
9110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126D3D8E2449B247A464749DA72ADB718E79B9125CB4486D1B3FD838C8FCAE9113F330D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:76HIKell9zTXUFpu+LcBIKSmeoBBmju8I1fou+q3nG4v20BRI+5lxYWJwaUHyzH9:7dl9zTXUFrLcBIKSmeoBBmju8I1fcY9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140926:AAwIxNoBHHpAGAiiSJCgSBgIAQPBSjmQAVPcwDnBgjBnkEAANagNmCAAQI2YSFIQAXQEgGBR0DEiEKq1Djr0gDAgTNkAQbEw

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:81df818fffffffff
Perceptual Hash:bc3c2c2e3c396969
Difference Hash:27241b3ae23a3a2a
Wavelet Hash:8082818bfbcbbf8b
Color Hash:#865c2d

Other Hashes

Crop Resistant:27241b3ae23a3a2a,0000e00008402000

Scan History

Scan history not available

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