Security Scan Report: rude-harlequin-b1xkfrnp-dpqzj7lkf5jy.edgeone.dev

Submitted: Sep 28, 2026, 1:57:26 PMCompleted: Sep 28, 2026, 1:58:01 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 58%

3
Risk Score

Small self-branded Bengali online food store on a free hosting subdomain. No phishing, credential or payment forms, and no malware found. Unknown age, unranked, and advance 'Send Money' payment warrant ordinary caution only.

Risk Factors (3)
Hosted on a free instant-subdomain namespace (.edgeone.dev) with a random subdomain name — actual page creation date unknown
Unranked in Cisco Umbrella top 1M (weak prior only)
Checkout flow requests a 20% advance mobile-money 'Send Money' payment with mandatory Transaction ID before delivery — a consumer-protection concern common to small regional shops, but unverifiable here
Safety Factors (5)
Self-branding only — no claim to be another company, no typosquatting of a known brand
No credential, login, or payment-card forms present (all form counts = 0)
No malware, no obfuscated JS with a network sink, no credential exfiltration
Cash-on-delivery option offered alongside advance payment
Contact/track-order/about sections and product catalogue consistent with a real small retail site
Domain age information unavailable

Details

Page Title

AS Bazar - Premium Natural Products

Scan Type

public

Domain Name Analysis

You're looking at domain 'rude-harlequin-b1xkfrnp-dpqzj7lkf5jy.edgeone.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'rude-harlequin-b1xkfrnp-dpqzj7lkf5jy'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rude-harlequin-b1xkfrnp-dpqzj7lkf5jy.edgeone.dev/

Page Load Overview

2.73s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:bn
Text Length:2,454 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping100% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
100%
e-commerce
35%

Detected Features

Payment
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
243.174.246.29Singapore
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.74.163Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2814--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFA3F852A1B510304467D5E4779B974E3330AC03D605CDA8BDAD89948FCEEB4A9BBACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cOlBbGrRvnNpyJ0PMHhWHd/t2oX5QQ/e5ZJeLcJt:C2lL5Lj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106922:KKAKBRyBzgIIKACBM6BpGSkAauAMi4CMEoQXEkCQESsbgVWAAgEMbAOEHrhMDqqIVIwSmEGAMNNQFQgZgo0fFEKBgtJgwzJW

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:fece0e07070f9ffe
Perceptual Hash:b555cdaae2aa111e
Difference Hash:04160a0808082820
Wavelet Hash:fe0e060707070ffe
Color Hash:#4d783a

Other Hashes

Crop Resistant:04160a0808082820

Scan History

Scan history not available

Unable to load historical scan data