Security Scan Report: marginal-orange-2sj7z1vv-dpzc3i6ubqyf.edgeone.dev

Submitted: Sep 18, 2026, 10:04:16 PMCompleted: Sep 18, 2026, 10:04:35 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 60%

7
Risk Score

Unranked EdgeOne subdomain running a Bengali 'Top Earn' referral app that collects bKash/Nagad activation payments. No impersonation, malware, or credential exfiltration found; risky pay-to-earn pattern warrants caution.

Risk Factors (4)
Unranked domain on a shared hosting-platform subdomain whose actual creation date is unknown (could be minutes old)
Payment collection for account activation via personal bKash/Nagad numbers
Referral/invite-bonus structure with withdrawal thresholds typical of pay-to-earn schemes
Unverified single-source threat-intel reputation matches on related IP addresses
Domain age information unavailable

Details

Page Title

Bangladesh Top Earn

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'marginal-orange-2sj7z1vv-dpzc3i6ubqyf.edgeone.dev' is registered; it also runs on subdomain 'marginal-orange-2sj7z1vv-dpzc3i6ubqyf'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://marginal-orange-2sj7z1vv-dpzc3i6ubqyf.edgeone.dev/

Page Load Overview

1.20s
Total Load Time
36 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:bn
Text Length:2,169 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
1149.154.167.99Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1108.181.20.35Los Angeles, California, United States
AS40676Psychz Networks
143.174.246.29Singapore
54--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5D02BCFA751982D0621F3542C70F32C04CFDDA4BA92DDC19DC5551FDC64B9C5921588

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqaYs0/fAbplGMFt1CapAyReg94Rubv7HKHIs0VuB9d:h5A2CAjubjHKHN0VG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c2222b2ca51f986d1dbecad55c62ad04

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:00003c3cbd3d3d01
Perceptual Hash:8a5f7036f7488a8b
Difference Hash:156171616969710d
Wavelet Hash:00003c3c3d3fffc7
Color Hash:#878ec5

Scan History

Scan history not available

Unable to load historical scan data