Security Scan Report: adkstaghugo-686rfvbmiq.edgeone.app

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Submitted: May 18, 2026, 12:26:10 PMCompleted: May 18, 2026, 12:27:37 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 15 HTTP transactions. The main domain is adkstaghugo-686rfvbmiq.edgeone.app and was registered NaN years ago.

Submitted URL: https://adkstaghugo-686rfvbmiq.edgeone.app/11943-vuelve-la-poca-estticamente-ms-confusa-los-2000-son-tendencia.html

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows no phishing or malware signs but unknown subdomain age and high JS obfuscation warrant cautious use.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation (potentially suspicious code style)
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise detected
No network IDS alerts or known malware signatures
Domain age information unavailable

Details

Page Title

Vuelve la poca estticamente ms confusa: los 2000 son tendencia

Scan Type

public

Language

🇪🇸

Spanish

(48% confidence)

Category

corporate

(35%)

Domain Information

You're looking at domain 'adkstaghugo-686rfvbmiq.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'adkstaghugo-686rfvbmiq'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adkstaghugo-686rfvbmiq.edgeone.app/11943-vuelve-la-poca-estticamente-ms-confusa-los-2000-son-tendencia.html

Page Load Overview

20.03s
Total Load Time
20
HTTP Requests
14
Domains
30 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:48%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,409 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
news media journalism
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.57Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2142.251.20.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
209--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12442D723BDC115383E62028494D3F6BCF82DD812EB5B8DF6E4DAEB1847C6ADB6C61400

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pbi69FgkqBxf3VomvPYf85ZEQV+wd6y7Xka94bJKJbh8CvHzeXxLHcsD8kYrWagQ:znxqB5hnYf8zX+aGJKJbCYsD8kYrWagQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12084:AiiwFAKIGhQxSVjAAyEIQaCCBQwgACYIMYq2mMDi1BMIwRBiEERfySYYgACiRVWQQCCkEJpQSsJQQSlAEKQocBrQwAZBAANC

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:3c383c3c00000018
Perceptual Hash:8a639c33cd739c32
Difference Hash:7169616145314db3
Wavelet Hash:3d7d7d7d31010139
Color Hash:#81e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data