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Security Scan Report: heartrepublichugo-km728123r7.edgeone.app

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Submitted: May 21, 2026, 8:06:44 AMCompleted: May 21, 2026, 8:08:15 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 heartrepublichugo-km728123r7.edgeone.app and was registered NaN years ago.

Submitted URL: https://heartrepublichugo-km728123r7.edgeone.app/15934-joma-ha-elegido-el-espanyol-como-buque-insignia-para-crecer.html

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

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

The page is a news article hosted on a newly created subdomain with low reputation; moderate risk but no direct phishing or malware signs.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Brand mention on a low‑ranked, untrusted subdomain
High JavaScript obfuscation (potentially suspicious code style)
Safety Factors
Page type is article (news content) not a login or payment page
No forms or credential collection mechanisms
No Indicators of Compromise matched
No network IDS alerts or malware detections
Domain age information unavailable

Details

Page Title

"Joma ha elegido el Espanyol como buque insignia para crecer"

Scan Type

public

Language

🇪🇸

Spanish

(46% confidence)

Category

news media journalism

(98%)

Domain Information

Within the application-focused generic top-level domain (.app), 'heartrepublichugo-km728123r7.edgeone.app' is registered with subdomain 'heartrepublichugo-km728123r7'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Word splitting yields 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://heartrepublichugo-km728123r7.edgeone.app/15934-joma-ha-elegido-el-espanyol-como-buque-insignia-para-crecer.html

Page Load Overview

12.46s
Total Load Time
21
HTTP Requests
13
Domains
130 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:46%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,645 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

news media journalism98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
98%
adult content
96%
corporate business
93%
government public service
93%
blog personal website
84%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
218--

Detected Technologies3

Open-Graph-Protocolvarticle
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

T103520A23F980013C773646D6A0C3F77D38C9942BF39688E4E9E9E75883C95C75963A88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGshnYf8zX+emJKJaJ/ca8kq8YYrWag4MDw:Yshnz+emJUwqHYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13582:A8EIISAU4JHEJxJq0RkJ0xCBphREQRQkYSSMF3gBEKgAosb4ZQDCFAogvoCoESHATkY4CK0CiASAM84gqIgmmUYcTqIBEyYB

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:8387c38183ffffff
Perceptual Hash:bc38d3b23969c1c9
Difference Hash:1e3c133b36080000
Wavelet Hash:0087818183ffff80
Color Hash:#bf4a40

Other Hashes

Crop Resistant:1e3c133b36080000

Scan History

Scan history not available

Unable to load historical scan data