Security Scan Report: mikosweden.se

Redirected to:
https://kaffekompaniet.se/
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 4 countries across 12 domains to perform 50 HTTP transactions. The main domain is mikosweden.se.

Submitted URL: https://mikosweden.se

Effective URL:
https://kaffekompaniet.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish corporate rebranding announcement from MIKO Sweden. No forms, no impersonation, no threat-intel or malware signals; the domain redirect reflects the stated brand consolidation.

Safety Factors (5)
Self-consistent branding across domain, title, meta and body (Kaffekompaniet / MIKO Sweden / Smiling Faces)
No credential, login or payment collection anywhere on the page
No Indicators of Compromise, hunting rule malware patterns, IDS alerts or Safe Browsing flags
Cross-origin requests limited to Google analytics and maps, normal for legitimate corporate sites
Content reads as a real corporate communications page with cookie consent and privacy policy
Domain age information unavailable

Details

Page Title

Kaffekompaniet blir Smiling Faces – samma människor, fler möjligheter - Kaffekompaniet

Scan Type

public

Domain Name Analysis

Domain 'mikosweden.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'mikosweden' covers 10 characters split between 4 vowels and six consonants. Splitting it apart reveals two words: miko, sweden. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mikosweden.se

Page Load Overview

3.24s
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-SE
Text Length:2,521 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business50% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
50%
government public service
39%
blog personal website
37%
corporate
35%
technology software
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8185.157.223.250Falkenberg, Halland County, Sweden
AS42708Glesys AB
335.214.142.12Google · CDNGroningen, Groningen, Netherlands
AS15169Google LLC
3172.217.115.4Google · CDNUnited States
AS15169Google LLC
313.51.52.5Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
354.75.207.84Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
33.174.46.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
399.80.139.86Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
313.226.244.63Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5015--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F346021E12420F9333F856675E1AA79171AFD51E4128AB3B0FBD85C46C84BD1A7EB0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KuaKsyvypUtIdGUjk9FxQZR4KHhMLM+fXWm8sfqUNSKUJWiD6OaEnrBU66ngVnMi:Nl6VYOBBdRkSzl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:240726:BQgbeGABInWgM4mSKTQSIIQTEClFKBKLAlAowhAKYRVwQid/sgiIEAGctQQBqOgCKciWoECAtyIQBICAAkRKTAFaJUtIJEAJ

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:00181800000000ff
Perceptual Hash:880cbc62f736cd63
Difference Hash:353133a1c1e10909
Wavelet Hash:191939597d3101ff
Color Hash:N/A

Other Hashes

Crop Resistant:353133a1c1e10909

Scan History

Scan history not available

Unable to load historical scan data