ScanMalware.com

Security Scan Report: mercadolealhugo-i77syy2i35.edgeone.app

Site favicon
Submitted: May 21, 2026, 5:58:02 AMCompleted: May 21, 2026, 5:59:49 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is mercadolealhugo-i77syy2i35.edgeone.app and was registered NaN years ago.

Submitted URL: https://mercadolealhugo-i77syy2i35.edgeone.app/22637-jorge-negrete.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears to be a low‑risk article page; unknown subdomain age and low ranking warrant caution but no direct malicious indicators were found.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JS obfuscation score (normal for minified code but still a moderate signal)
Safety Factors
No forms collecting credentials or payments
No Indicators of Compromise or malware detections
Page identified as an article (og:type="article")
No redirects or external phishing‑related alerts
Domain age information unavailable

Details

Page Title

Jorge Negrete

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mercadolealhugo-i77syy2i35.edgeone.app' is registered with subdomain 'mercadolealhugo-i77syy2i35'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mercadolealhugo-i77syy2i35.edgeone.app/22637-jorge-negrete.html

Page Load Overview

12.27s
Total Load Time
20
HTTP Requests
13
Domains
104 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:4,121 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
63%
entertainment media
60%
news media journalism
49%
finance banking
44%
government public service
43%

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.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
208--

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

T1D6621A27F684602CE732465B7091F3BE7D28C816D3678DA469E8F76887C36CF1D62644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bhnYf8zX+JxJKJ1J/cI85w/GIZemIeS67/YYrWag4MDw:bhnz+JGJUb4GInIeS67AYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15290:MQEAoDyQCodEZBKCBAhgUUgVeCDgQQpckLoBABgMaqiAmFDQjlhpADDB4YclbA2A6FIjUIAjWmCAAwA4IBUeiUhlJQkAwKIA

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:0000203c3c3c00ff
Perceptual Hash:c349bc47c74ec62c
Difference Hash:c0dac0c0c8c0d102
Wavelet Hash:38007c7e7c7c00ff
Color Hash:#862d2d

Other Hashes

Crop Resistant:0000000000000000,c0dae0c0c8c0c012

Scan History

Scan history not available

Unable to load historical scan data