Security Scan Report: kollaborativet.se

Redirected to:
https://www.kollaborativet.se/
Site favicon
Submitted: Oct 15, 2026, 6:30:11 AMCompleted: Oct 15, 2026, 6:30:55 AMpubliccompleted

This website contacted 19 IPs in 2 countries across 10 domains to perform 168 HTTP transactions. The main domain is kollaborativet.se and was registered 13 years ago.

Submitted URL: https://kollaborativet.se

Effective URL:

https://www.kollaborativet.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate Swedish performing-arts site on Wix. Self-branding matches domain, no credential or payment forms, no threat intelligence, YARA, IDS or Safe Browsing hits. Unknown domain age is neutral.

Safety Factors (5)
Page displays its own brand ('Kollaborativet') consistent with the domain
No credential, password, or payment fields on the page
No threat-intelligence matches, malware patterns, or network IDS alerts
Cross-origin scripts and network calls belong to the Wix hosting platform and are normal for legitimate sites
Site content (art exhibitions, accessibility, performances) has no scam or phishing indicators
Domain age information unavailable

Details

Page Title

Kollaborativet | Sinnlig scenkonst

Scan Type

public

Domain Name Analysis

You're looking at domain 'kollaborativet.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'kollaborativet' is 14 characters long holding six vowels versus 8 consonants. Breaking it apart gives 5 words: koll, a, borat, i, vet. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kollaborativet.se

Page Load Overview

7.92s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,043 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media39% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
39%
education learning
26%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24162.159.143.12Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8185.230.63.171Ashburn, Virginia, United States
AS58182Wix.com Ltd.
865.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
834.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
854.198.253.94Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
834.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8151.101.66.217Fastly · CDNUnited States
AS54113Fastly, Inc.
865.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8146.75.120.79Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
865.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16819--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1455BE065085D388DDB129FB6D5BF2D69B94403DEA241FEF8DC9E6807D35EA0293312

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:5dENb2Vy4tJ90Je5JyE7fzMh6xY0aehgNRou:5dMCVyoJ90Je5JyKMh6xE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1215072:wAeUJIh6UQCA+cILQBAKoNgIBSkREHQGgGehCIGgocAiegsXC5KZSEOADkPASQCAQENIYRhYDIIPIGUQ9YaADiUFE4CgFNAw

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:007868fbf7f0f000
Perceptual Hash:c2191bf73c472371
Difference Hash:f1d3d3c486c1c1c7
Wavelet Hash:007878ffe7fcf000
Color Hash:#87c5c4

Scan History

Scan history not available

Unable to load historical scan data