Security Scan Report: kentstater.com

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Submitted: Oct 12, 2026, 11:11:50 AMCompleted: Oct 12, 2026, 11:12:49 AMpubliccompleted

This website contacted 26 IPs in 3 countries across 18 domains to perform 108 HTTP transactions. The main domain is kentstater.com and was registered 9 years ago.

Submitted URL: https://kentstater.com/131579/world-nation/who-is-larry-ellison-who-just-became-the-worlds-richest-person/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate news article from Kent State's KentStater student newspaper about Larry Ellison. No forms capturing credentials, no impersonation, no threat-intel or malware signals.

Safety Factors (5)
Domain age ~2.7 years, registered 2024-02-12
Self-branded site whose title/meta match its own domain (kentstater.com)
Article-type page with byline-style news content; brand names (Oracle, CNN, OpenAI) are subjects of reporting, not claims of identity
No credential-harvesting, payment, or exfiltration behavior detected
Third-party scripts come from ranked, mainstream ad/analytics hosts
Domain age information unavailable

Details

Page Title

Who is Larry Ellison, who just became the world’s richest person? – KentStater

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'kentstater.com' is registered without a subdomain. The second-level label 'kentstater' is 10 characters long containing 3 vowels alongside 7 consonants. Word splitting yields 2 words: kent, stater. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kentstater.com/131579/world-nation/who-is-larry-ellison-who-just-became-the-worlds-richest-person/

Page Load Overview

5.37s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:8,380 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical38% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
38%
documentation technical
33%
adult content
31%
government public service
29%
forum
25%

Detected Features

Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
43.225.235.42Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
4104.26.8.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
4104.26.13.139Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43.160.150.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.251.20.94Google · CDNUnited States
AS15169Google LLC
4157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
10826--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B13428A2FD89103E1437A2A5F463BBA977196537DF4309B0B0FC7528DB85DA10832B5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:37epf4hfPUiCF4lctt1IPDPgC6wpKr71MCR/cUQjlZO6xzjimgk1wBTi:rUqlctt1IPDPgC6wpKryCREBljimgPi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:244837:HAghBZYGUB2uQptAIhiLmABJhRsYMwkBgQ0EApNGEcQADg0iskVpggFBIeCgyiFhQAGFgISErBgEUhhcB+A6VIUygOwiFhEB

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:000000ffffffcbc3
Perceptual Hash:f54e20c2f5adb261
Difference Hash:61612a2a969c969e
Wavelet Hash:000000ffffffc3c3
Color Hash:#5c53ac

Scan History

Scan history not available

Unable to load historical scan data