Security Scan Report: sillvik.se

Redirected to:
http://lillebyfritidsby.se/
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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 15 HTTP transactions. The main domain is sillvik.se.

Submitted URL: https://sillvik.se

Effective URL:
http://lillebyfritidsby.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

Plain Swedish association/WordPress site with only a search form, no credential or payment fields and no threat-intel, YARA or IDS hits; the cross-domain redirect is unremarkable.

Safety Factors (4)
No credential, password or payment fields anywhere on the page
No Indicators of Compromise, YARA or network IDS hits
All scripts served from the site's own domain; zero cross-origin JS targets
Content is coherent, dated association news with an author and archive
Domain age information unavailable

Details

Page Title

Sillviks Havskoloni

Scan Type

public

Domain Name Analysis

The domain name 'sillvik.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'sillvik' covers 7 characters split between 2 vowels and five consonants. Word splitting yields three words: sill, vi, k. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sillvik.se

Page Load Overview

7.67s
Total Load Time
842 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:2,204 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8185.84.28.31Sweden
AS201146lopnet AB
7185.84.28.30Sweden
AS201146lopnet AB
152--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16903A5B041ED0837262FFBDA85D43B26ADFB8534C74065A776FB2654C6C8FB5309620A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1i0VZdapN/6AEyVShyoesEyRescyCesjytesLyRescyXesKyjesgyAb5/eiCVz:1Fap7EaShpesEOescjesjEesLkesc6eq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39918:AjIjGqMpoCTYRgIDChZdAIAQIBWVAHLQJRKCKiRQcRyAaQIkAogBKQoigqAYNKyoDAAIhEqIAAUEQjwUA5BRHQ8lxhzsoiAC

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:ffc3c3c3c3ffdfff
Perceptual Hash:b8649b9a719a9371
Difference Hash:3686969696969292
Wavelet Hash:c2c2c3c3c3cbcbca
Color Hash:#6ce09a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data