Security Scan Report: handloomclothstore.com

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Submitted: May 14, 2026, 11:43:42 PMCompleted: May 14, 2026, 11:45:20 PMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 28 HTTP transactions. The main domain is handloomclothstore.com and was registered NaN years ago.

Submitted URL: https://handloomclothstore.com/Beige-Kota-Cotton-Embroidered-Suit-Set-With-Dupatta-For-Womens/catalogue/tb1tIoTU/kQM4d2TE

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

New, unranked site with critical IDS malware alerts; likely used for malicious activity – avoid and report.

Risk Factors
New domain (<7 days) with no reputation
Unranked domain (low reputation)
Critical IDS alerts for malware C2 and data exfiltration
Large HTTP POST requests flagged as potential exfiltration
Domain age information unavailable

Details

Page Title

Handloom Cloth Store Beige Kota Cotton Embroidered Suit Set With Dupatta For Womens Price in India - Buy Handloom Cloth Store Beige Kota Cotton Embroidered Suit Set With Dupatta For Womens online at https://handloomclothstore.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(64%)

Domain Information

Within the commercial generic top-level domain (.com), 'handloomclothstore.com' is registered. The second-level label 'handloomclothstore' is 18 characters long containing six vowels alongside 12 consonants. Breaking it apart gives 3 words: handloom, cloth, store. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://handloomclothstore.com/Beige-Kota-Cotton-Embroidered-Suit-Set-With-Dupatta-For-Womens/catalogue/tb1tIoTU/kQM4d2TE

Page Load Overview

4.64s
Total Load Time
77
HTTP Requests
17
Domains
1.5 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:8,003 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping64% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
64%
adult content
30%
cryptocurrency blockchain
29%
e-commerce
25%
corporate
25%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.251.110.95United States
AS15169Google LLC
7142.251.14.95United States
AS15169Google LLC
752.222.232.36United States
AS16509Amazon.com, Inc.
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
720.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
735.154.137.63Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
7142.251.110.94United States
AS15169Google LLC
7142.250.154.97United States
AS15169Google LLC
718.64.16.124United States
AS16509Amazon.com, Inc.
7151.101.130.217United States
AS54113Fastly, Inc.
7710--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153F3FA27102022389017A9A6DFB53F1D717AF01FDA5795DAA9364F24CBC7ED11B2338A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jBZyxLnaQAcg+poYRnnpooponpoIi30ydLR/Wg5uGmXD:+nz3n9eydZWX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158567:AsgglMBlGcIQAEBCBbDGgfxzgBaxoAISQQlIEBdRFAkKAEI/LiMKagYABwB9rowJ0aHZnwwIoAQUQCgByhLUB0CghApgDVPa

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:00b3b389b9b9fbf3
Perceptual Hash:ed3f161e3b120e46
Difference Hash:6a26265233230603
Wavelet Hash:00b2b0a8b9b9f7f1
Color Hash:#86462d

Other Hashes

Crop Resistant:6a26265233230603

Scan History

Scan history not available

Unable to load historical scan data