Security Scan Report: mutrade-i93dvkkok3.edgeone.app

Submitted: Mar 18, 2026, 1:40:07 AMCompleted: Mar 18, 2026, 1:41:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mutrade-i93dvkkok3.edgeone.app and was registered NaN years ago.

Submitted URL: https://mutrade-i93dvkkok3.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Likely credential phishing page on an unknown subdomain; do not enter credentials.

Risk Factors
Potential credential harvesting form on an unknown‑age subdomain
Subdomain on free hosting platform with unknown creation date
Login fields detected without a visible form (possible hidden/JS‑generated form)
Domain age unknown – cannot verify legitimacy
Domain age information unavailable

Details

Page Title

m²u+ Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(54%)

Domain Information

The domain name 'mutrade-i93dvkkok3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mutrade-i93dvkkok3'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Segmentation suggests 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://mutrade-i93dvkkok3.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
3 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
Text Length:719 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking54% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A842B7A660A9193081B790A77267DF1938B09113EC0BF7557EAD21E42FD2C5D8BDA20F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Gb2bv2RoRi+xjor8izRD4pfPYE9wLaNMDkngUbotLj:5zxN4V+QEVNotn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12153:hRVUZxB0BLQHJgJ5AbQUAIIoeQKEg3ACEEGBUgAlSQDAQBBgEJCECYmCAIFPCSBowA1QqSNRgAIWqM4kyAppHkoE4wBI+RBE

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:033f1f070f07070f
Perceptual Hash:8ccccc33337333cc
Difference Hash:d7b3b34fffffffff
Wavelet Hash:1f1f1f070f07070f
Color Hash:#aca053

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data