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Security Scan Report: mnwaleedhhugo-x9bon5obzd.edgeone.app

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Submitted: May 18, 2026, 9:09:15 AMCompleted: May 18, 2026, 9:10:39 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is mnwaleedhhugo-x9bon5obzd.edgeone.app and was registered NaN years ago.

Submitted URL: https://mnwaleedhhugo-x9bon5obzd.edgeone.app/14100-laura-wright.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk informational article; no phishing or malware indicators detected.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low domain reputation ranking
High JavaScript obfuscation score (normal for minified code but adds uncertainty)
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious IoC or YARA matches
No network IDS alerts
Page type is an article (og:type=article) – content‑only
Domain age information unavailable

Details

Page Title

Laura Wright

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(88%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mnwaleedhhugo-x9bon5obzd.edgeone.app' is registered, featuring subdomain 'mnwaleedhhugo-x9bon5obzd'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mnwaleedhhugo-x9bon5obzd.edgeone.app/14100-laura-wright.html

Page Load Overview

15.45s
Total Load Time
19
HTTP Requests
12
Domains
99 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:4,023 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
88%
adult content
76%
healthcare medical
68%
news media journalism
61%
government public service
56%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.217.208.95United States
AS15169Google LLC
2142.251.14.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128523C2BFA80113CAB214257E481F9BF7D78C022D36BCDA478D9D75987CABD70936544

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:whnYf8zX+5aJKJVd8r7ZRug6xYYrWag4MDoq2:whnz+5tu7ZRug6yYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14410:IABKgEAOwYQAAQAIJhBUSRAHuKCMTItAABkIwDYn4zQG+UD05QQBhdSIEqocEGnKZDAhlEEYgkGEhiGRDEIBSRIAEEwgjpIk

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:30003c7c7c7c0018
Perceptual Hash:c9630d678c67cc36
Difference Hash:c0d6c0c0d0c0c6b2
Wavelet Hash:7c007e7e7e7e0018
Color Hash:#c587b4

Other Hashes

Crop Resistant:8080808080808082,c0d6c0c0d0c0c6b2

Scan History

Scan history not available

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