Security Scan Report: monopoly-know-do-hacks-u2ftti5wf5.edgeone.dev

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Submitted: Feb 25, 2026, 7:31:43 PMCompleted: Feb 25, 2026, 7:33:01 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is monopoly-know-do-hacks-u2ftti5wf5.edgeone.dev and was registered NaN years ago.

Submitted URL: https://monopoly-know-do-hacks-u2ftti5wf5.edgeone.dev/_global-error.html

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; site appears safe but currently returns an internal server error.

Safety Factors
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
Domain age >180 days
Hosted on a reputable hosting platform
No cross‑origin requests or network IDS alerts
Domain age information unavailable

Details

Page Title

500: Internal Server Error.

Scan Type

public

Language

🇩🇪

German

(36% confidence)

Category

news media journalism

(77%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'monopoly-know-do-hacks-u2ftti5wf5.edgeone.dev' is registered; it also runs on subdomain 'monopoly-know-do-hacks-u2ftti5wf5'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Splitting it apart reveals two 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://monopoly-know-do-hacks-u2ftti5wf5.edgeone.dev/_global-error.html

Page Load Overview

1.59s
Total Load Time
10
HTTP Requests
1
Domains
252 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:36%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%
documentation technical
77%
technology software
77%
government public service
76%
cryptocurrency blockchain
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.174.246.29Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181C1206BA808DE47EC7A7D5D043EAF3A04CC497B827589BC97CDCE440A429B91B92DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0SwHnHJj0SKJU6q5syck7ZozTk7cg1mWqp+0xmzqOoDK8cHcXSJ5giluM964eW:nSnHwJU6q5sbggWqp+Mmz9T5giluM96E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5773:xBhDAICFBAIIWgAQqIKSJARhgAAENAwgmhCAYERAIoQAAiALWAFwUAQEAoBoiQIQgKgQIEUEsIkxBwgAAQHFEIACIFAFAUmJ

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:ffffffe7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:0000000808000000
Wavelet Hash:03033f27273f3333
Color Hash:#3a6d78

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data