Security Scan Report: dorshoponline.in

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Submitted: Dec 31, 2025, 10:14:44 PMCompleted: Dec 31, 2025, 10:16:14 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 44 HTTP transactions. The main domain is dorshoponline.in and was registered NaN years ago.

Submitted URL: https://dorshoponline.in/shop?cat=29379

AI Security Verdict

Low Risk

Confidence: 78%

5
Risk Score

Site has a login form but lacks strong malicious signs; treat as low risk.

Risk Factors
Credential collection form on an unranked domain
Unranked domain may indicate low reputation
Safety Factors
Domain age over 180 days
No payment fields present
No known malicious Indicators of Compromise
Page title does not impersonate a major brand
Domain age information unavailable

Details

Page Title

MURABBA & CANDY & ACHAR(PICKLE) - Nirmala Enterprises

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(62%)

Domain Information

Domain 'dorshoponline.in' uses the Indian country-code top-level domain (.in). The core label 'dorshoponline' covers 13 characters split between 5 vowels and eight consonants. Word splitting yields 3 words: dor, shop, online. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dorshoponline.in/shop?cat=29379

Page Load Overview

3.07s
Total Load Time
44
HTTP Requests
10
Domains
1.0 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:2,332 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical62% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
62%
corporate business
31%
government public service
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.184.200United States
AS15169GOOGLE
4216.58.206.46United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
4172.217.23.106United States
AS15169GOOGLE
4104.17.24.14United States
AS13335CLOUDFLARENET
4172.67.206.95United States
AS13335CLOUDFLARENET
4104.16.175.226United States
AS13335CLOUDFLARENET
4104.21.22.181United States
AS13335CLOUDFLARENET
4142.250.186.99United States
AS15169GOOGLE
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6D31A42F7D5002B201780746966B749373E9013F206CEA8B9BD62ACEFC9E955937BCD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wfrzj8bzyomCvDDD8zXtAkC1u/1an1eQ1JQ1lrXDw7aIfYy2r:erzjgzyomCvDDD8zykC1u/1an1eQ1JQf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:139761:MyYEBYCA05IBAggsMAAIvVQoIFBQBimxwgQtUgASIdFFWB4EaiSKIaDFYiJDGBViEICA2eMCEUYECIIAhIclQgwYGCRgcHqg

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:fffffb878101ff9f
Perceptual Hash:bac1c5323ec50ceb
Difference Hash:ccb2833d193d2635
Wavelet Hash:7e46f1858100ff1f
Color Hash:#832d86

Scan History

Scan history not available

Unable to load historical scan data