Security Scan Report: gobeavercountyhugo-vw19kiqks4.edgeone.app

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Submitted: May 21, 2026, 1:56:15 AMCompleted: May 21, 2026, 1:57:57 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is gobeavercountyhugo-vw19kiqks4.edgeone.app and was registered NaN years ago.

Submitted URL: https://gobeavercountyhugo-vw19kiqks4.edgeone.app/17149-precio-del-dlar-hoy-4-de-julio-de-2023-cotizacin-en-compra-y-venta.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The site appears low risk with no malicious indicators, but unknown subdomain age warrants caution.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
Safety Factors
Page type is article (og:type=article) – no brand impersonation
No credential or payment forms present
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Precio del dlar Hoy 4 de julio de 2023: cotizacin en compra y venta

Scan Type

public

Language

🇪🇸

Spanish

(45% confidence)

Category

finance banking

(42%)

Domain Information

Domain 'gobeavercountyhugo-vw19kiqks4.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gobeavercountyhugo-vw19kiqks4'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Segmentation suggests 2 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://gobeavercountyhugo-vw19kiqks4.edgeone.app/17149-precio-del-dlar-hoy-4-de-julio-de-2023-cotizacin-en-compra-y-venta.html

Page Load Overview

12.68s
Total Load Time
21
HTTP Requests
15
Domains
31 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:45%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,902 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

finance banking42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
42%
news media journalism
41%
adult content
38%
government public service
36%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2142.251.127.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2142.251.20.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
219--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F520933ACC0122C665597886AC3F27E767A8496F351E9E5F3DEB33843C93C385A9584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMYhnYf8zX+XKJKJhJ/ctJwyc12zYrWag4MDw:bQYhnz+X5JUtJwy8sYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14471:BBhA8ZIcZLKIFlCqJIWhMQyQwAJkFgsTQgAFwNCFkXQfkQgEMABFOgJoyUIq0oQAVWgJYzUAEEBggcKNMcBkFOmgQEkKA2MZ

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:e7c7c3c3c3ffffff
Perceptual Hash:f534c3926563c3c3
Difference Hash:0e16161616120002
Wavelet Hash:e6c2c28282cefecc
Color Hash:#d29e79

Other Hashes

Crop Resistant:0e16161616120002

Scan History

Scan history not available

Unable to load historical scan data