Security Scan Report: regnbagscentret.se

Redirected to:
https://www.regnbagscentret.se/
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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 3 countries across 12 domains to perform 41 HTTP transactions. The main domain is regnbagscentret.se.

Submitted URL: https://regnbagscentret.se

Effective URL:
https://www.regnbagscentret.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Self-branded Swedish e-commerce site for detox/intestine-cleansing products. No credential or payment forms detected, no threat-intel, hunting rule or IDS matches, and no brand impersonation.

Safety Factors (5)
Domain name matches the site's own brand name
No forms or payment/credential collection on the captured page
No indicators of compromise or malware signatures
Standard e-commerce platform resources rather than suspicious infrastructure
No impersonation of another organisation's brand
Domain age information unavailable

Details

Page Title

Regnbågscentret - Detox Detoxkurer Tarmrening TarmSlim TarmPlus Tarmreningskur Tarmrensning Tarmkur Tarmreningsprogram

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'regnbagscentret.se' is registered and has no subdomain. Count 15 characters in 'regnbagscentret' split between 4 vowels and 11 consonants. It segments into five words: reg, n, bags, centre, t. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

4 SVENSKA / SEK / INKL. MOMS » — LOGGAIN =nmveny AQ sök I mo Välkommen till Regnbågscentrets nya Webbutik! OBS! Du måste vara inloggad med användarnamn och lösenord för att kunna lägga en order! Ä...

Page Load Overview

3.19s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:3,196 chars
Detector Agreement:60%

Website Classification

Primary Category

e-commerce shopping69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
69%
healthcare medical
66%
cryptocurrency blockchain
46%
government public service
44%
blog personal website
36%

Detected Features

OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9192.121.104.141Sweden
AS1257Tele2 SWIPnet
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
279.127.216.203Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2192.121.104.138Sweden
AS1257Tele2 SWIPnet
2212.102.56.179Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
279.127.211.89Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2212.102.56.178Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2195.181.175.40Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
237.19.194.81Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
4117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185F31A2291E45E3705C211D47A997FCB7FAD904BF79504A4F1EC9F2C4BFAC9E882118A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cEa2bhVtXbhAAEGX6cVs2KaULdqHo5OaOyvVO33F2CmnALjdFXt0XapfQfXaVgEj:5jrXoLfrVgLjoEkK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157576:HkJ/EpYMsQdUBRACIiEUF+YAGA4h4AgFiCcSgBCXCApShI0IEEH5kAIFCrcWIBFSOAwGY5FpIDSQPCRlGUIblAIwKEAGOIbc

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:04047c7c7c7c7c7c
Perceptual Hash:d0323636933ccdcb
Difference Hash:8cccf0f0f0b0d4cc
Wavelet Hash:043c7c7c7c7c147c
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data