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Security Scan Report: adamtmcclurehugo-e5s0z8kh14.edgeone.app

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Submitted: May 19, 2026, 7:06:53 PMCompleted: May 19, 2026, 7:08:34 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is adamtmcclurehugo-e5s0z8kh14.edgeone.app and was registered NaN years ago.

Submitted URL: https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/14364-joyce-randolph.html

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The page is an article with brand mentions but lacks malicious forms or malware; moderate risk due to unknown subdomain age and low domain ranking.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors
No credential or payment forms present
No Indicators of Compromise detected
No JavaScript malware patterns matched
No network IDS alerts
Domain age information unavailable

Details

Page Title

Joyce Randolph

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(73%)

Domain Information

The domain 'adamtmcclurehugo-e5s0z8kh14.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'adamtmcclurehugo-e5s0z8kh14'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/14364-joyce-randolph.html

Page Load Overview

13.05s
Total Load Time
20
HTTP Requests
13
Domains
31 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:3,848 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
73%
adult content
63%
news media journalism
55%
government public service
53%
social media network
37%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2142.251.110.94United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
208--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C620977E681103CAB1245A560C1B2BCBE39C426E3AE8C7474B9D36C57EA7C72937944

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMIhnYf8zX+tyJKJgJ/cxJkVepmzYrWag4MDw:bQIhnz+tQJUxJ8epcYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15045:CgQKBAgwG94MRAgEGWBRAdneQFWIFAgaeRWlAUdIX6gLUATe6JgBUrhjAQBosIUgBBaRQRBIwAAIFEkQaDa8GIpQKDPACAID

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:c3ffc7c3c3c3c3ff
Perceptual Hash:f58acb3c2a216b63
Difference Hash:2a30161616161e10
Wavelet Hash:83dec2c2c2c2c2ff
Color Hash:#53aca2

Other Hashes

Crop Resistant:2a30161616161e10

Scan History

Scan history not available

Unable to load historical scan data