Security Scan Report: mkopoyetuu-d1rccmyiti.edgeone.app

Submitted: Mar 4, 2026, 10:25:44 AMCompleted: Mar 4, 2026, 10:27:03 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 mkopoyetuu-d1rccmyiti.edgeone.app and was registered NaN years ago.

Submitted URL: https://mkopoyetuu-d1rccmyiti.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New loan registration site with password field; likely credential phishing – classified as confirmed scam.

Risk Factors
New domain (<7 days) with credential collection
Password field on loan registration form (potential credential harvesting)
Lack of legitimate organizational content or multiple form types
Domain age information unavailable

Details

Page Title

MKOPO YETU

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

finance banking

(43%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mkopoyetuu-d1rccmyiti.edgeone.app' is registered; it also runs on subdomain 'mkopoyetuu-d1rccmyiti'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Segmentation 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://mkopoyetuu-d1rccmyiti.edgeone.app/

Page Load Overview

0.44s
Total Load Time
3
HTTP Requests
2
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:174 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking43% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
43%
government public service
30%
adult content
25%

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

T1C0C182C773930839228BD5A77B9786893928C00B4D42C9497B8C96F9CFC2D89C5A779C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:m7vHEFqkYTDgTO526JUErxhCpPmVr0f44/r3Wg948:YHEwkYTDgi526JUEilmV4Q4/r3Wg9v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5851:YIBIkGARAYEAYlSAgDgqEdKAYAEIRAWAAAQIdsGADUggPigwBMqC0IoAMYtMkiSBAAIgC4AAoE0AlWFBAhJGAdaCAAAxFKAo

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:#8d1f93

Scan History

Scan history not available

Unable to load historical scan data