Security Scan Report: stadutbildningar.se

Redirected to:
https://www.stadutbildningar.se/
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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 3 countries across 8 domains to perform 49 HTTP transactions. The main domain is stadutbildningar.se.

Submitted URL: https://stadutbildningar.se

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

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Swedish cleaning-industry training company site (BST AB) with self-branded content, no forms, no credential collection and no threat-intel, hunting rule or IDS hits. Domain age is unpublished, which is a neutral signal.

Safety Factors (5)
Self-branding consistent with the domain name
No credential, password or payment collection anywhere on the page
No Indicators of Compromise, hunting rule, IDS or Safe Browsing hits
Coherent, substantive business content with named owners, address and contact email
Only well-known third-party services (Cookiebot consent, font/CDN hosts) load scripts
Domain age information unavailable

Details

Page Title

Städutbildningar i hela Sverige | BST AB

Scan Type

public

Domain Name Analysis

You're looking at domain 'stadutbildningar.se' on the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'stadutbildningar' stretches across 16 characters containing 5 vowels alongside eleven consonants. Breaking it apart gives six words: stad, ut, bild, n, in, gar. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Cookiebot byUsercentrics BS I Hem Spetsutbildningar SRY Yrkesutbildning — INSTA 800 Kontakt Boka utbildning städutbildningar Stadutbildningar for foretag, kommuner och offentlig sektor BST AB erb...

Page Load Overview

4.08s
Total Load Time
28.6 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:6,831 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(96%)🇺🇸en(2%)🇮🇩id(1%)🇪🇪et(1%)

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29185.58.213.12Denmark
AS201595mono solutions ApS
954.192.35.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
423.50.131.160Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
454.192.35.62Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4143.204.181.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
418.64.211.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
423.50.131.159Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
454.192.35.88Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
454.192.35.8Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
323.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16963C86130A5763F0767CAF43650D70BA9D28289C94258CDC1A9CB782ED2C6AECFD177

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TWqseEpstNv0hvGvTpUoCwA3FfXP5aMJJS9p:4v3FZaD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69565:4QQR6AUoSZxERCpqBIAgAAHRpAkDAIKiC4wgGGGFEYEYAIA9GxEG7SAIrIzDQGcmAzOEIWgCBIIJJNArVIIYiAhEkAgQKYAC

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:fff7d3d1d1f1fcfd
Perceptual Hash:ecb59349955a2d52
Difference Hash:2a2427273733391d
Wavelet Hash:9ff381818181dcfd
Color Hash:07200000180

Scan History

Scan history not available

Unable to load historical scan data