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Security Scan Report: mnwaleedhhugo-x9bon5obzd.edgeone.app

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Submitted: May 18, 2026, 2:34:35 PMCompleted: May 18, 2026, 2:35:58 PMpubliccompleted
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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/17530-the-life-and-sudden-death-of-flappy-bird-how-a-guy-making-50000-per-day-grew-to-hate-his-own.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Moderate risk site; likely brand impersonation without credential collection.

Risk Factors
Unknown subdomain age
Low domain ranking with brand name mismatch
High JavaScript obfuscation
Safety Factors
No login or payment forms
Meta tags indicate article/news content, not a login page
No malicious IoC or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

The Life And Sudden Death Of 'Flappy Bird': How A Guy Making $50,000 Per Day Grew To 'Hate' His Own

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'mnwaleedhhugo-x9bon5obzd.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'mnwaleedhhugo-x9bon5obzd'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Segmentation suggests 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://mnwaleedhhugo-x9bon5obzd.edgeone.app/17530-the-life-and-sudden-death-of-flappy-bird-how-a-guy-making-50000-per-day-grew-to-hate-his-own.html

Page Load Overview

13.36s
Total Load Time
19
HTTP Requests
12
Domains
104 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:5,769 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
32%
technology software
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.244United States
AS7979Servers.com, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2142.251.127.94United States
AS15169Google LLC
2172.217.208.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.23.96United 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

T102721A17E68114182B32135BB194F2FD796B901BC3828EF958AFD324D6C77EB85792C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:OhnYf8zX+zSJKJVd8s+ELcGOZpx2zMYYrWag4MDoq2:Ohnz+zF0EgNZpEzXYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16809:vAhJQ8EQ6NlAkE0AU4CSUQRcYA4AAgAmwQkIE/AKpDMDsJIWHZUQTlYIQZJ8EEpAaQ5g0AiUAPJxo4aCIMCzwCCTACYAZaFI

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:3800003c3c3c3c38
Perceptual Hash:ca378c63cd678c26
Difference Hash:e1c9c5c9c1d1cdf3
Wavelet Hash:3d003c7c7c7c7c38
Color Hash:#a92dd2

Other Hashes

Crop Resistant:8080808080800080,e1c9c5c9c1d1ccf3

Scan History

Scan history not available

Unable to load historical scan data