Security Scan Report: weamaxthugo-kyh82vobvh.edgeone.app

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Submitted: May 20, 2026, 8:12:17 PMCompleted: May 20, 2026, 8:13:42 PMpubliccompleted
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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 weamaxthugo-kyh82vobvh.edgeone.app and was registered NaN years ago.

Submitted URL: https://weamaxthugo-kyh82vobvh.edgeone.app/16060-14-astonishing-facts-about-murrayfield-stadium.html

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site appears to be a low‑risk informational article with no malicious indicators, though the subdomain is newly created and unranked.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking
High JavaScript obfuscation score (though not linked to malware)
Safety Factors
No malicious Indicators of Compromise
No forms or credential exfiltration
Page marked as og:type=article (informational content)
No network IDS alerts
External resources are standard CDNs and analytics
Domain age information unavailable

Details

Page Title

14 Astonishing Facts About Murrayfield Stadium

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(98%)

Domain Information

The domain name 'weamaxthugo-kyh82vobvh.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'weamaxthugo-kyh82vobvh'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Word splitting yields two 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://weamaxthugo-kyh82vobvh.edgeone.app/16060-14-astonishing-facts-about-murrayfield-stadium.html

Page Load Overview

12.25s
Total Load Time
20
HTTP Requests
13
Domains
33 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:8,550 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
98%
download file sharing
89%
social media network
89%
phishing scam
88%
news media journalism
87%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2142.251.14.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
208--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C925D73ABC4223C5721028053EEB7EC63258814D7524CB0F9DE57B98B463E7897A5D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:znxqB5hnYf8zX+0GJKJbJ/chJaDi9ktLeJmqahCY3mJ77w8kYrWag4MDw:zQ5hnz+0/JUhJRs64qaMk8aYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19939:ahyMEBjgiYRAdCjIwIBUCogIwCgkItABGIiEAWIbNBEOT5hOeCcdARAAMAYGKDJAFER5QtBBiJQoWSUoYHMKgalYhIEBixYR

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:0000003c383c08ff
Perceptual Hash:8a2cfd0ad51ab53a
Difference Hash:7161696969696969
Wavelet Hash:0121013d3d3d3dff
Color Hash:#87c590

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data