Security Scan Report: adamtmcclurehugo-e5s0z8kh14.edgeone.app

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Submitted: May 19, 2026, 10:54:55 PMCompleted: May 19, 2026, 10:57:36 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is adamtmcclurehugo-e5s0z8kh14.edgeone.app and was registered NaN years ago.

Submitted URL: https://adamtmcclurehugo-e5s0z8kh14.edgeone.app/19616-dua-lipa-poses-in-a-cute-care-bear-bikini-pics-hollywood-life.html

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The site hosts an article on a newly created subdomain with low reputation; no malicious activity detected but caution is advised.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
High JS obfuscation score without clear malicious intent
Brand name mentioned on a low‑reputation domain
Safety Factors
No login, payment, or credential forms
No Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts
Page type is an article, indicating informational content
Domain age information unavailable

Details

Page Title

Dua Lipa Poses In A Cute Care Bear Bikini Pics Hollywood Life

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'adamtmcclurehugo-e5s0z8kh14.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'adamtmcclurehugo-e5s0z8kh14'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Word splitting yields two 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://adamtmcclurehugo-e5s0z8kh14.edgeone.app/19616-dua-lipa-poses-in-a-cute-care-bear-bikini-pics-hollywood-life.html

Page Load Overview

90.14s
Total Load Time
14
HTTP Requests
8
Domains
4 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:2,839 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7101.33.10.57Frankfurt am Main, Hesse, Germany
1104.20.23.96United States
AS13335Cloudflare, Inc.
1104.20.7.223United States
AS13335Cloudflare, Inc.
1142.251.110.94United States
AS15169Google LLC
1104.21.0.120United States
AS13335Cloudflare, Inc.
1142.251.13.95United States
AS15169Google LLC
1172.240.108.76United States
AS7979Servers.com, Inc.
1104.18.11.207United States
AS13335Cloudflare, Inc.
148--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E52F933F961103C67320192A1E5B3FC7E6A8836EB83C8F4B5A9E32947C76D7457A644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMEhnYf8zX+BoJKJgJ/cKJ0sS2NZRS/h5P1zYrWag4MDw:bQEhnz+BSJUKJHS2NZYJPYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14428:kCLBkgAYApcLF0A0BkBKicjAWPDAUok7gwQEKWDBEmAHFEJIMBgBF0T4ASma3gCTBGBSS5YKAiAFgiWBOAEuFyoAaASAVLIA

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:83c7c3c3c3cfffff
Perceptual Hash:b42ccf3b286d09cb
Difference Hash:0f1c16161e1e0002
Wavelet Hash:81c2c2c2c2c2fefe
Color Hash:#2dd232

Other Hashes

Crop Resistant:0f1c16161e1e0002

Scan History

Scan history not available

Unable to load historical scan data