Security Scan Report: apacificunionhugo-8kkdpt5yh6.edgeone.app

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Submitted: May 20, 2026, 3:19:41 AMCompleted: May 20, 2026, 3:21:27 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 14 HTTP transactions. The main domain is apacificunionhugo-8kkdpt5yh6.edgeone.app and was registered NaN years ago.

Submitted URL: https://apacificunionhugo-8kkdpt5yh6.edgeone.app/23061-who-is-justine-jones-entire-kenly-nc-police-department-resigns-what-happened.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The site appears to be a low‑risk informational article with no malicious forms or indicators.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Content classified as an article (og:type=article) with no brand impersonation
Domain age information unavailable

Details

Page Title

Who Is Justine Jones? Entire Kenly NC Police Department Resigns - What Happened?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(52%)

Domain Information

You're looking at domain 'apacificunionhugo-8kkdpt5yh6.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'apacificunionhugo-8kkdpt5yh6'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apacificunionhugo-8kkdpt5yh6.edgeone.app/23061-who-is-justine-jones-entire-kenly-nc-police-department-resigns-what-happened.html

Page Load Overview

13.47s
Total Load Time
22
HTTP Requests
14
Domains
112 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-US
Text Length:3,799 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
52%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.178.183.95United States
AS15169Google LLC
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.26.5.30United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
229--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10972F933D1922138A3270192B9E2B3FC766AD037F7434CB859F9623942C6AC71E72695

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWSRhnYf8zX+om0+Ymj3mP+mjJKJGJ/cx8tsl35dszheMdYYrWag4MDw:VWohnz+IzJU4PeZYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16302:S2EBZLmIDgloFxAQJCFQtBQBgTAJuJcAClAAAyiHhCjwkHSCYAIMDciQERHiMo5ASIAuDAwgjJRiAswikRwS0Q4IIEhIoWsh

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:ffffc3c38183ffff
Perceptual Hash:bcd4c3383ac73938
Difference Hash:4c36161733372e33
Wavelet Hash:ffc381818181c3ff
Color Hash:#421f93

Scan History

Scan history not available

Unable to load historical scan data