Security Scan Report: norrtaljetrafikskola.se

Redirected to:
https://www.norrtaljetrafikskola.org/
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 4 countries across 8 domains to perform 39 HTTP transactions. The main domain is norrtaljetrafikskola.se.

Submitted URL: https://norrtaljetrafikskola.se

Effective URL:
https://www.norrtaljetrafikskola.org/
Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Swedish driving school on its own matching domain; self-branded, contact/search forms only, no credential or payment fields, and no threat-intel, YARA or IDS hits. Low risk.

Risk Factors (1)
Scan began on .se and ended on a different registrable domain (.org), so the entry domain's 531-day age and ranking do not describe the page served by the .org host
Safety Factors (5)
Self-branding: page title/header match its own domain name
No password, disguised-password or payment fields on any of the forms
No Indicators of Compromise, YARA malware patterns, IDS alerts or Safe Browsing threats
Analytics host contacted (plausible.io, top-1M ranked) is a normal third-party analytics service
Contact details (phone number, email, physical town and opening hours) typical of a real local business
Domain age information unavailable

Details

Page Title

Norrtälje Trafikskola

Scan Type

public

Domain Name Analysis

The domain 'norrtaljetrafikskola.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'norrtaljetrafikskola' is 20 characters long holding seven vowels versus 13 consonants. Segmentation suggests seven words: nor, r, tal, jet, rafik, skol, a. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://norrtaljetrafikskola.se

Page Load Overview

1.94s
Total Load Time
1.7 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:4,641 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
98%
education learning
94%
blog personal website
92%
government public service
89%
finance banking
80%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
735.204.150.5Google · CDNGroningen, Groningen, Netherlands
AS396982Google LLC
4194.9.94.86Sweden
AS39570Loopia AB
4142.251.150.119Google · CDNUnited States
AS15169Google LLC
4185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
4146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4142.251.13.94Google · CDNUnited States
AS15169Google LLC
4194.9.94.85Sweden
AS39570Loopia AB
4142.251.153.119Google · CDNUnited States
AS15169Google LLC
399--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17263945168E2647A173B44C1F2B69B0E2A95854BEEC34AC1B3FC52AC1FD9C52F4E309D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pDx7L7+xQfKz+hC1e4xv8n3WjHlqochZjU+QT3hB4513J6FEg2T8ztXQFwjIaTXM:3r6QfKz+hC1ecvDn80VoDMqS4FTgUJGa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73313:SwqqWY8REgnIlAABTCl0hlQHsT4QzNCYQBBbFjog0FYQIqfAHCEklAbAfmABZqXAikAAZM4oBJY8QLKeA2UXgC0BghgI6EwJ

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:ffefffc3c3c3c300
Perceptual Hash:bc93c3641adcce8c
Difference Hash:1c1e209e96961617
Wavelet Hash:ffc3df838383c300
Color Hash:#53ac62

Scan History

Scan history not available

Unable to load historical scan data