Security Scan Report: exclusivedigesthugo-b3f5iz50o2.edgeone.app

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Submitted: May 21, 2026, 12:08:50 PMCompleted: May 21, 2026, 12:11:19 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is exclusivedigesthugo-b3f5iz50o2.edgeone.app and was registered NaN years ago.

Submitted URL: https://exclusivedigesthugo-b3f5iz50o2.edgeone.app/10318-how-investing-in-rolex-watches-beats-stocks-gold-and-real-estate-models-like-the-cosmograph-day.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Moderate risk due to brand mention on an unknown-age subdomain with low reputation, but no direct phishing or malware observed.

Risk Factors
Brand impersonation suspicion (brand name on unrelated domain)
Unknown subdomain age on hosting platform
Low domain reputation ranking
High JS obfuscation score (potentially hidden malicious code)
Hosting on generic platform (.edgeone.app) without established reputation
Safety Factors
Page type is article (og:type="article"), indicating news/reporting
No forms or credential collection mechanisms
No Indicators of Compromise matches
No JavaScript malware YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

How investing in Rolex watches beats stocks, gold and real estate models like the Cosmograph Day

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(55%)

Domain Information

The domain 'exclusivedigesthugo-b3f5iz50o2.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'exclusivedigesthugo-b3f5iz50o2'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://exclusivedigesthugo-b3f5iz50o2.edgeone.app/10318-how-investing-in-rolex-watches-beats-stocks-gold-and-real-estate-models-like-the-cosmograph-day.html

Page Load Overview

33.40s
Total Load Time
20
HTTP Requests
14
Domains
219 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:3,594 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
55%
real estate property
53%
download file sharing
52%
corporate business
52%
education learning
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.16.29.106United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2142.251.110.94United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.66.169.241United States
AS13335Cloudflare, Inc.
208--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151723C37E390123C3B350249B6D573FC6668C017D35A4DE4A9ADA336C7C56EB88BB284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWchnYf8zX+KCcJJKJL5J/cl8tsJAXdYdr5VYYrWag4MDw:VWchnz+KCcI5JUUsJv52YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16436:AXg8ABEgCgiI0ASLIESIfRTgcABgTL0g28ZIUiCAADVAtICwqSAIqI0eKngAIpoYUUYENowkGwLwuQAiABSAMKUJAlCIEOs/

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:ffc3c3c383c3ffff
Perceptual Hash:bd3193c64c8c7969
Difference Hash:401a1717172f3602
Wavelet Hash:ff8381818181c7ff
Color Hash:#bf4240

Scan History

Scan history not available

Unable to load historical scan data