Security Scan Report: amarhisab-mj3wyd0nq4.edgeone.app

Submitted: Nov 22, 2025, 3:02:29 AMCompleted: Nov 22, 2025, 3:04:10 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 4 domains to perform 14 HTTP transactions. The main domain is amarhisab-mj3wyd0nq4.edgeone.app.

Submitted URL: https://amarhisab-mj3wyd0nq4.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: 80%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise detected
No credential or payment collection forms present
Domain not flagged by threat intelligence sources
Domain age information unavailable

Details

Page Title

Smart CashBook Pro

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

finance banking

(58%)

Domain Information

Within the application-focused generic top-level domain (.app), 'amarhisab-mj3wyd0nq4.edgeone.app' is registered with subdomain 'amarhisab-mj3wyd0nq4'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. It segments into 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://amarhisab-mj3wyd0nq4.edgeone.app/

Page Load Overview

0.34s
Total Load Time
14
HTTP Requests
4
Domains
692 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:647 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking58% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
58%
documentation technical
42%
corporate business
38%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.184.227United States
AS15169GOOGLE
3104.17.24.14United States
AS13335CLOUDFLARENET
243.152.26.58Singapore
1142.250.186.106United States
AS15169GOOGLE
1104.17.25.14United States
AS13335CLOUDFLARENET
12a00:1450:4001:828::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
12606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
12a00:1450:4001:80f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12606:4700::6811:190eUnited States
AS13335CLOUDFLARENET
149--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B33092231782536899790F9A7CBC7063036DD07E686E4A47DAC41988FCFDF498BB5D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:59SCVBsOAt9/5UNsoJtrja329E9vP8VaU1e7wt5q:zVBsOAt9/5Uhj74P8V1ecrq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52397:GEAQ0BBU8AQBAIRAqgSDI7ARFESABRiswEQWEdixJxCAAKpLgCCABEEaoEgABTqNPwkYxUQWABGAIGBhrMBJApAICRARxmEo

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:0080ffffffffff3f
Perceptual Hash:ea6a2f6887959594
Difference Hash:5515a08681808060
Wavelet Hash:0000fcfff0f0f030
Color Hash:#c6d279

Scan History

Scan history not available

Unable to load historical scan data