Security Scan Report: sinchanearn-1sy08vuct3.edgeone.app

Submitted: Mar 24, 2026, 10:45:44 AMCompleted: Mar 24, 2026, 10:47:06 AMpubliccompleted
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Summary

This website contacted 12 IPs in 4 countries across 12 domains to perform 1 HTTP transaction. The main domain is sinchanearn-1sy08vuct3.edgeone.app and was registered NaN years ago.

Submitted URL: https://sinchanearn-1sy08vuct3.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: 92%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No password fields or hidden password inputs
No cross‑origin credential exfiltration detected
External resources are from reputable CDNs (jsdelivr, cloudflare, google fonts)
Hosted on a known developer hosting platform without malicious indicators
Domain age information unavailable

Details

Page Title

SINCHAN - EARN

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

finance banking

(68%)

Domain Information

Domain 'sinchanearn-1sy08vuct3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sinchanearn-1sy08vuct3'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sinchanearn-1sy08vuct3.edgeone.app/

Page Load Overview

1.20s
Total Load Time
23
HTTP Requests
12
Domains
520 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:bn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bn
Text Length:383 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
68%
cryptocurrency blockchain
60%
download file sharing
54%
entertainment media
54%
social media network
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.152.26.58Singapore
1149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
1185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1151.101.1.229Germany
1104.18.41.22Unknown
1142.251.141.67United States
AS15169Google LLC
1104.17.25.14Unknown
1139.45.197.107Germany
AS9002RETN Limited
1172.67.68.11UnknownUnknown
1172.217.16.163United States
AS15169Google LLC
2312--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102E22A2A31F31076ADA3D4E3E792A7597515E687CF1BC259BE9E41005FCBEB24C83608

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:pohNF9yB4X7KJH7JXeS7JXex/27xVAPz4Fvhbbd6/VIM02Ua9NYHWJemhoe2+PTD:pop9yPhL7nAPz6t8/VITVkwmhoShxLI6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33461:gXBEEBYAFECqBJwQA8wGfswkiQkQCBBU20IAmQQEImAZxQwMjGcAQSLyCsAQw8KwsAwAYCHCQQQ4iiQ8ACiRQCExIRaRBfaY

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:90180018180000ff
Perceptual Hash:dc4c6662d9197333
Difference Hash:313230b2320c1000
Wavelet Hash:993838381c0403ff
Color Hash:#af79d2

Other Hashes

Crop Resistant:313230b2320c1000

Scan History

Scan history not available

Unable to load historical scan data