Security Scan Report: baggindia-dpwhwswn6ho2.edgeone.app

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Submitted: Jun 29, 2026, 8:40:54 AMCompleted: Jun 29, 2026, 8:42:03 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is baggindia-dpwhwswn6ho2.edgeone.app and was registered NaN years ago.

Submitted URL: https://baggindia-dpwhwswn6ho2.edgeone.app/

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

The site shows a legitimate wholesale supplier layout but has an unknown-age, unranked subdomain and a contact form, warranting moderate risk and cautious use.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Hosting on a generic PaaS subdomain (edgeone.app)
Presence of a data-collection form (email fields) on an unknown-age site
Safety Factors
No credential or payment fields in the form
No malicious JavaScript or external malicious resources detected
No brand impersonation or phishing language
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

Bag 'G' India — Wholesale Pouches & Bags Supplier in Chennai

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(51%)

Domain Information

Domain 'baggindia-dpwhwswn6ho2.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'baggindia-dpwhwswn6ho2'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Word splitting yields two 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://baggindia-dpwhwswn6ho2.edgeone.app/

Page Load Overview

0.99s
Total Load Time
21
HTTP Requests
6
Domains
2.4 MB
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:5,114 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business51% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
51%
social media network
45%
e-commerce shopping
42%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.42.157.235City of London, England, United Kingdom
AS16509Amazon.com, Inc.
7101.33.10.10Frankfurt am Main, Hesse, Germany
7142.251.14.95United States
AS15169Google LLC
213--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E73C6AB95F7117A2913A5E46BEB27497B64D003C50ADC683FDC03848F8AEE4ED53358

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xvejIZpQc3YJDKHriq3cJCx5rwlJabGEbtKe0Z5EGbSHyAztQ:xv6c3IT08

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76322:QASzAzzARKgiBSoPgBiigmgAUAM2BRKICYDJ8AI1Ro01EIiTgdGbo4IiYgEqBBsCGFQgMATogCAAZgR4gMkKxQIUFgElTyXB

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:fdf8f0f0f0f000ff
Perceptual Hash:ce4ab393a611b1ad
Difference Hash:4951336567824d0d
Wavelet Hash:fdf8b0f0b0f000e7
Color Hash:#5371ac

Scan History

Scan history not available

Unable to load historical scan data