Security Scan Report: mkopoyetuofficial-1g0qbta8f4.edgeone.app

Submitted: Mar 8, 2026, 6:13:56 AMCompleted: Mar 8, 2026, 6:15:38 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is mkopoyetuofficial-1g0qbta8f4.edgeone.app and was registered NaN years ago.

Submitted URL: https://mkopoyetuofficial-1g0qbta8f4.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 90%

2
Risk Score

The site shows no malicious forms, code, or IoC matches; with unknown subdomain age it is assessed as low risk.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Low Cisco Umbrella ranking (≈455,732) – not a known brand
Domain age unknown
Safety Factors
Absence of credential or payment forms
No malicious code or obfuscation detected
No external links to known malicious domains
No IDS or YARA alerts
Domain age information unavailable

Details

Page Title

MKOPO YETU

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

The domain name 'mkopoyetuofficial-1g0qbta8f4.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mkopoyetuofficial-1g0qbta8f4'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Splitting it apart reveals 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://mkopoyetuofficial-1g0qbta8f4.edgeone.app/

Page Load Overview

13.23s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:816 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
46%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.15.59.240Singapore
043.152.26.58Singapore
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163C181C373930839228BD5A37BA7C6893828C10B5D53C9497A8D96F5CF82D89C4A779C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:m7vHEFqkYTDgTO526JUErxhCpPyVr0f42/r3W3nD8:YHEwkYTDgi526JUEilyV4Q2/r3mnY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5940:cYIIkOABMMEQYmSEALgiE9yAIBEIQASCgCIIdsGACEBANghSJMqA0AQEIMkMkAWhAIIgAaJCoAMAFWFBQ2DDIcbAAABwB6R4

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:00ffff0000ffffff
Perceptual Hash:8800015d7f7f5d5d
Difference Hash:d280805101800001
Wavelet Hash:00ff0000ffffff00
Color Hash:#2d7686

Scan History

Scan history not available

Unable to load historical scan data