Security Scan Report: mnwaleedhhugo-x9bon5obzd.edgeone.app

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Submitted: May 21, 2026, 12:11:21 PMCompleted: May 21, 2026, 12:13:41 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 mnwaleedhhugo-x9bon5obzd.edgeone.app and was registered NaN years ago.

Submitted URL: https://mnwaleedhhugo-x9bon5obzd.edgeone.app/17536-american-heavyweight-deontay-wilder-could-fight-in-june-against-mexicos-former-boxing-king-andy-rui.html

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site with no malicious indicators; unknown subdomain age warrants caution.

Risk Factors
High JavaScript obfuscation score (potentially suspicious code style)
Unknown subdomain age on a hosting platform
Safety Factors
No login or payment forms
No credential exfiltration detected
Page type is an article (og:type=article) with no brand impersonation
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

American heavyweight Deontay Wilder could fight in June against Mexico's former boxing king Andy Rui

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(37%)

Domain Information

The domain 'mnwaleedhhugo-x9bon5obzd.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mnwaleedhhugo-x9bon5obzd'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Tokenizing the label 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://mnwaleedhhugo-x9bon5obzd.edgeone.app/17536-american-heavyweight-deontay-wilder-could-fight-in-june-against-mexicos-former-boxing-king-andy-rui.html

Page Load Overview

51.09s
Total Load Time
20
HTTP Requests
13
Domains
106 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:8,337 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
37%
corporate
35%
entertainment media
30%
news media journalism
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.240.108.76United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.217.208.95United States
AS15169Google LLC
2142.251.14.94United States
AS15169Google LLC
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C921A2B7640102C676101A7B185F7FCFB6E883BD7528DB0989AB62C72C65F749726CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:iuhnYf8zX+FRm5WR9dRbARYJKJVJ/cZ8OlR0R/1iLDSWvZOxZWKvQq+DYYrWag4H:iuhnz+FRm5WR9dRbARnJUflR0R/1iLDP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20152:QSStgBgKdFWAAgErDLDETRytQG3BhIKlVAhEVUFwYRhRUgDURQE8CxhACA0icIEAcABMEBsQgIZIWEExFaiqEA0GNhhwidog

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:0000003c383c00ff
Perceptual Hash:c26dad43cd06bd2c
Difference Hash:e1c9c1d1d1c1d1c1
Wavelet Hash:3900007c7c7c7cff
Color Hash:#e0706c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data