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Security Scan Report: eidsalamiazimhosen-x03yv8qcfz.edgeone.app

Submitted: Mar 24, 2026, 11:12:56 AMCompleted: Mar 24, 2026, 11:14:13 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 1 HTTP transaction. The main domain is eidsalamiazimhosen-x03yv8qcfz.edgeone.app and was registered NaN years ago.

Submitted URL: https://eidsalamiazimhosen-x03yv8qcfz.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
Hosted on a known free hosting platform (edgeone.app) with no suspicious activity
No login, payment, or data collection forms
Standard external resources from trusted CDNs (jsdelivr, cloudflare, Google fonts)
Page title appears to be personal content, not brand impersonation
Domain age information unavailable

Details

Page Title

আজিম হোসেন | ঈদ সালামী ২০২৫

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

finance banking

(59%)

Domain Information

Within the application-focused generic top-level domain (.app), 'eidsalamiazimhosen-x03yv8qcfz.edgeone.app' is registered and includes subdomain 'eidsalamiazimhosen-x03yv8qcfz'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Breaking it apart gives 2 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://eidsalamiazimhosen-x03yv8qcfz.edgeone.app/

Page Load Overview

2.10s
Total Load Time
18
HTTP Requests
8
Domains
473 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:789 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking59% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
59%
blog personal website
58%
cryptocurrency blockchain
50%
technology software
45%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.24.14United States
AS13335Cloudflare, Inc.
2142.251.141.67Singapore
AS54113
2188.114.96.3United States
AS13335Cloudflare, Inc.
2104.26.3.143Unknown
AS16276
245.43.142.3Unknown
AS13335
2172.217.16.170United States
AS15169Google LLC
2151.101.1.229UnknownUnknown
243.152.26.58Singapore
AS139341ACE
188--

Detected Technologies3

Tailwind CSS
30%
particles.js
20%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170E2C52966A600BA2C93C4E3D7E56718B52DADC3DA2FCB6CBDDD5100AFC6DB50C93204

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Q79QWhL7JyzZAA3DfQ8alx/S/W+WbQpr79ZlKuxS9fwpillWrU7q6hiDWoyLe:Q79QWhnye+WbQFlKsSu+lcwqxYLe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32962:kk0RBQNBBn5ogVeEiEjawQWEZRAQGBywYhcFTAcQAGBABvGCFB4AI8JK0QwBBNYAVFhFEydDsDSNAkoiAAlM0AAmTAGRNMAK

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:0100183c18181800
Perceptual Hash:88aa278d899fa72d
Difference Hash:038531313131300c
Wavelet Hash:ff01193d1b3d3c22
Color Hash:#a987c5

Other Hashes

Crop Resistant:038531313131300c

Scan History

Scan history not available

Unable to load historical scan data