Security Scan Report: kumiskucing.store

Redirected to:
https://kumiskucing.store/katalog
Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 4 domains to perform 29 HTTP transactions. The main domain is kumiskucing.store and was registered 5 days ago.

Submitted URL: http://kumiskucing.store/katalog

Effective URL:
https://kumiskucing.store/katalog
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Self-branded Indonesian herbal-tea storefront with only a product search form, no credential or payment fields, and no threat-intelligence, YARA or IDS hits. Unknown domain age adds nothing.

Safety Factors (4)
Self-branding consistent with the domain (no impersonation of another entity)
No credential or payment forms on the page; checkout is delegated off-page per the site's own text
No Indicators of Compromise, YARA, IDS or Safe Browsing hits
Standard hosting on Hostinger with only font/CDN third-party scripts
Domain age information unavailable

Details

Page Title

Katalog teh kumis kucing — Official Store

Scan Type

public

Domain Name Analysis

The domain name 'kumiskucing.store' uses the .store top-level domain without a subdomain. Its registrable label 'kumiskucing' stretches across 11 characters split between four vowels and seven consonants. Tokenizing the label suggests 3 words: kum, is, kucing. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://kumiskucing.store/katalog

Page Load Overview

3.25s
Total Load Time
303 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id
Text Length:855 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
82%
adult content
45%
government public service
34%
healthcare medical
34%
education learning
31%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.113.23.17Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
292.113.16.171Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
292.113.23.251Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
292.113.16.222Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
292.113.23.145Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
292.113.16.184Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2910--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15742F72EE42D9C3E52330AD5E3B9BF2C21C6639B89081828F57852F95250DF5F71B8C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:QE05wKkQt70i+0iYd05GiI7+Z05XVB4lCVIk0IHO95RUt0iSWa8yeaIUk1U05XHW:QEUOeKVnKM7Utodb2A6tHkJZN6EYsl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12956:AiAI230EBR0YfkIdDGH8IAhFAACB2agpxqIIADCungDMISEQCiAFEBIMC1HAQkwAB0BogjCMAgRBCLKNLgcuMNyEMhmCeAGS

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:00ff8fafbfdf9fff
Perceptual Hash:be73484c473a713c
Difference Hash:cb3a3a6a62a22020
Wavelet Hash:008e8ea2b89e9f9f
Color Hash:#40bfb7

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data