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

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Submitted: May 21, 2026, 7:49:01 AMCompleted: May 21, 2026, 7:50:39 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 adkstaghugo-686rfvbmiq.edgeone.app and was registered NaN years ago.

Submitted URL: https://adkstaghugo-686rfvbmiq.edgeone.app/1098-adriana-guerendiain-all-about-cesar-azpilicueta-wife.html

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

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

The page is an informational article with no phishing or malware signs, but unknown subdomain age and high JS obfuscation suggest low‑to‑moderate risk.

Risk Factors
Unknown subdomain age
Low domain ranking (unranked)
High JavaScript obfuscation score
Safety Factors
No forms or credential fields present
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Page marked as an article (og:type=article) – informational content
Domain age information unavailable

Details

Page Title

Adriana Guerendiain- All About Cesar Azpilicueta Wife

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(68%)

Domain Information

You're looking at domain 'adkstaghugo-686rfvbmiq.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'adkstaghugo-686rfvbmiq'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Word splitting yields 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/1098-adriana-guerendiain-all-about-cesar-azpilicueta-wife.html

Page Load Overview

12.45s
Total Load Time
20
HTTP Requests
14
Domains
32 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:4,428 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
68%
blog personal website
59%
download file sharing
56%
adult content
53%
entertainment media
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.127.234United States
AS7979Servers.com, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.18.10.207United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2142.251.127.95United 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

T106622A73D540112C9A334B5AE781F2EC7A6A8436D7C2C4E5B5DDBB3903C62C7447A489

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:znxqBT4hnYf8zX+KRoH1oYZOJKJbJ/cXS3JgynjIL/BhpkyE6zkSzLY8kYrWag4H:zQ0hnz+aWJU2JMj3iYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15840:AYCApoIoBpEfEYAIkAUAiQaAiFBEswUMcIAZNVAgcOLYojCUZIePzUYhqo0gMCEBZgo5EJ0AiBECCMmnUQxiLQIAHgADAJgY

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:00000038003800ff
Perceptual Hash:8a28fd0edd0abc3a
Difference Hash:7141696961616169
Wavelet Hash:0131013d3d3d39ff
Color Hash:#6c85e0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data