Security Scan Report: kunjkreationsstudio.com

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Submitted: May 14, 2026, 12:03:20 AMCompleted: May 14, 2026, 12:05:07 AMpubliccompleted
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Summary

This website contacted 11 IPs in 4 countries across 11 domains to perform 34 HTTP transactions. The main domain is kunjkreationsstudio.com and was registered NaN years ago.

Submitted URL: https://kunjkreationsstudio.com/Artisanal-Diya-Pack-With-Rangoli-For-Divine-Pooja-And-Festive/catalogue/MMkaQ9Ew/fhjyPhtq

AI Security Verdict

High Risk

Confidence: 90%

7
Risk Score

New, unranked site with critical malware alerts and obfuscated scripts; likely compromised – treat as high risk and avoid.

Risk Factors
Brand new (<7 days) domain
Unranked / low reputation domain
Critical IDS alerts indicating malware activity
High JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

KUNJ KREATIONS STUDIO Artisanal Diya Pack With Rangoli For Divine Pooja And Festive Diwali Decoration Price in India - Buy KUNJ KREATIONS STUDIO Artisanal Diya Pack With Rangoli For Divine Pooja And Festive Diwali Decoration online at https://kunjkreationsstudio.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(47%)

Domain Information

The domain name 'kunjkreationsstudio.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'kunjkreationsstudio' covers 19 characters holding eight vowels versus 11 consonants. Splitting it apart reveals six words: kun, jk, re, at, ions, studio. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kunjkreationsstudio.com/Artisanal-Diya-Pack-With-Rangoli-For-Divine-Pooja-And-Festive/catalogue/MMkaQ9Ew/fhjyPhtq

Page Load Overview

6.31s
Total Load Time
79
HTTP Requests
18
Domains
1.3 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-IN
Text Length:8,548 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping47% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
47%
e-commerce
25%
corporate
25%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.206.21.165Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
752.222.232.56United States
AS16509Amazon.com, Inc.
7142.251.110.94United States
AS15169Google LLC
7192.178.183.97United States
AS15169Google LLC
7151.101.2.217United States
AS54113Fastly, Inc.
718.64.16.115United States
AS16509Amazon.com, Inc.
7142.251.127.95United States
AS15169Google LLC
720.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
7142.251.14.95United States
AS15169Google LLC
7911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9F31B6B0021223CA417BDAA5FB53F18317AF02BD956D5D9A97A4F24CBC7ED01B1334A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sLZyNWnsJ8/YensJfYyV4ge/5gcNNjP6T7ar7JkdjHk18kD8lTT5J0ZHiGmXY:qnsJ8/DnsJfbmd7ykTD8B0ZR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171147:AGSE8wmHcyGMICWoDIkpNDkAgIIjdgxEAUACVXNIEgIACsAADJAlgJBFURgAAAg3QKZACQgwR4TIyGoDDqdCGAEKYRmKRypQ

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:8081b3c9e9fbf3f9
Perceptual Hash:ed276632331296ce
Difference Hash:0a06665213070603
Wavelet Hash:00b0b0a8e9f3f3f3
Color Hash:#72931f

Other Hashes

Crop Resistant:0a06665213070603

Scan History

Scan history not available

Unable to load historical scan data