Security Scan Report: mohonsirclassroom-lwigkmle4p.edgeone.app

Submitted: Mar 13, 2026, 10:39:32 PMCompleted: Mar 13, 2026, 10:41:13 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is mohonsirclassroom-lwigkmle4p.edgeone.app and was registered NaN years ago.

Submitted URL: https://mohonsirclassroom-lwigkmle4p.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: 88%

1
Risk Score

Site is unreachable and shows no malicious indicators; low risk but cannot verify legitimacy.

Safety Factors
Hosted on a reputable hosting platform (edgeone.app)
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior detected
Domain age information unavailable

Details

Page Title

MoHon sir Classroom | শিক্ষার আলোয় আলোকিত

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mohonsirclassroom-lwigkmle4p.edgeone.app' is registered; it also runs on subdomain 'mohonsirclassroom-lwigkmle4p'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mohonsirclassroom-lwigkmle4p.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:816 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
50%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.17.24.14Singapore
0146.75.122.208Singapore
043.152.26.58Singapore
045.43.142.101Singapore
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4A2745698FF0072A483E8D85BA917257A13CC03CB0EDA597E5E5344DF8ECBC9C97A48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9uaGX0EFvohBI+8MSeQM/jet3lAjYrCS+FbMEFmZMqgJFNFR9GKYiNyJQbkF6vZT:UGEFHlgFwEFmWFNFkBFE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21827:UoaAOAilhSBAMA04zYdAWJMhTHmBA4QAUCQBTNlunIECCAmAriWVDAOAUoI4EIxKiUINUECbApAMEXEBSgpA0CBO0JIfhDQi

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:0000000000ffffff
Perceptual Hash:fa6a87b57d858602
Difference Hash:c915951131ccc8ac
Wavelet Hash:ff00000000ffffff
Color Hash:#d28179

Scan History

Scan history not available

Unable to load historical scan data