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Security Scan Report: roulappshugo-cmjyhzh1ul.edgeone.app

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Submitted: May 20, 2026, 2:41:50 AMCompleted: May 20, 2026, 2:43:51 AMpubliccompleted
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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 roulappshugo-cmjyhzh1ul.edgeone.app and was registered NaN years ago.

Submitted URL: https://roulappshugo-cmjyhzh1ul.edgeone.app/22347-11-pictures-from-the-golden-days-of-jcpenney.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%

4
Risk Score

The page is a brand‑related article with no malicious forms, but the newly created, low‑rank subdomain warrants cautious browsing.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JS obfuscation score (suspicious but not proven malicious)
Brand mention on a low‑rank, newly created subdomain
Safety Factors
No credential or payment forms present
No Indicators of Compromise matched
No network IDS alerts
Page classified as an article (news/blog) about the brand
Domain age information unavailable

Details

Page Title

11 Pictures from The Golden Days Of JCPenney

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'roulappshugo-cmjyhzh1ul.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'roulappshugo-cmjyhzh1ul'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roulappshugo-cmjyhzh1ul.edgeone.app/22347-11-pictures-from-the-golden-days-of-jcpenney.html

Page Load Overview

12.33s
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:2,138 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
6142.251.20.95United States
AS15169Google LLC
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt 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

T162520A37F641513C2B5303C9B191777C792DC413D359C8E8F8ADA72947CAACBA9B2588

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMRhnYf8zX+yJrOxJ2pJwJU65JKJiJ/c7JJiJ2uhzYrWag4MDw:bQRhnz+yJSxJeJwJtJU7J8J1YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13480:QCYJaSAwZJdLFFGUAaAAi5CAUeMgBCkbgiIEIuAYlGYDUEJAMoAJEmQiBSGYqCBIIBCJS9jLAcDkElIAZIk+kigiKINgQhIh

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:00c7ffc3c3ffffff
Perceptual Hash:b532c30a646dcf4b
Difference Hash:081c161616000212
Wavelet Hash:00c6c2c2c2cefefe
Color Hash:#4077bf

Other Hashes

Crop Resistant:081c161616000212

Scan History

Scan history not available

Unable to load historical scan data