Security Scan Report: mkopoyetukenya-t6ed7s0szh.edgeone.app

Submitted: Mar 8, 2026, 8:17:45 AMCompleted: Mar 8, 2026, 8:19:05 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is mkopoyetukenya-t6ed7s0szh.edgeone.app and was registered NaN years ago.

Submitted URL: https://mkopoyetukenya-t6ed7s0szh.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

MKOPO YETU

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

finance banking

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mkopoyetukenya-t6ed7s0szh.edgeone.app' is registered and includes subdomain 'mkopoyetukenya-t6ed7s0szh'. Count 7 characters in 'edgeone' with four vowels and 3 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://mkopoyetukenya-t6ed7s0szh.edgeone.app/

Page Load Overview

0.96s
Total Load Time
3
HTTP Requests
2
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:234 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking37% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
37%
education learning
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2D195C373930839228BD5A37BA7C6893868C10B5D42C949BA8D96F5CF81D89C5E779C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:m7vHEFqkYTDg5z26JUEr0f2A9yXCpPyVr0f42/r3W3nD8:YHEwkYTDgJ26JUE4eylyV4Q2/r3mnY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6244:DAFpDPEBAp0gA1HBAMsGCFiEMIxIQQVIAwAAM8KAgMAZgBg4CEoABFQAKCRE0CAtgDgAA8BsNQkCRBFAAwIyQQawggGSDRhw

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:d080801111800001
Wavelet Hash:00ff0000ffffff00
Color Hash:#78703a

Scan History

Scan history not available

Unable to load historical scan data