Security Scan Report: vasterasfriidrott.se

Redirected to:
https://www.vasterasfriidrott.se/
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Submitted: Completed: publiccompleted
This website contacted 19 IPs in 3 countries across 11 domains to perform 49 HTTP transactions. The main domain is vasterasfriidrott.se.

Submitted URL: https://vasterasfriidrott.se

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established Swedish athletics club on a 4.4-year-old self-branded domain; no forms, no impersonation, no threat-intelligence, malware or IDS signals. Legitimate.

Safety Factors (5)
Domain registered 2022-05-17 and continuously operating ~4.4 years
Coherent, verifiable real-world organisation detail: physical address, phone with stated calling hours, BG bank giro number
Rich, internally consistent club content (news, events, sponsorship tiers, training groups, club history dating to 1989)
No credential or payment collection of any kind
Third-party resources are ordinary: Google Tag Manager, Google Fonts, CloudFront, affiliate/tracking (TradeDoubler) and Swedish gaming site links
Domain age information unavailable

Details

Page Title

Välkommen till Västerås Friidrottsklubb

Scan Type

public

Domain Name Analysis

The domain 'vasterasfriidrott.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 17 characters in 'vasterasfriidrott' containing six vowels alongside eleven consonants. Breaking it apart gives five words: vaster, as, fri, idr, ott. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vasterasfriidrott.se

Page Load Overview

4.25s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:4,132 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
54%
documentation technical
46%
adult content
26%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
133.79.173.192Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
23.125.172.46Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
213.226.247.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2143.204.181.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
263.189.131.154Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
263.187.98.82Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
278.108.2.12Stockholm, Stockholm County, Sweden
AS49172AB Svenska Spel
23.171.214.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4919--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D793EAB240682C3FD37341C2BC18239DB2FD2469E5CB8C00F6BE95195BD6E92BD5526E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:yRy6lFPTMV8/kk8O21pMnOLDmDyL8faV/XGzhZ10Mqu4L9aipzepArTHU6IgHI66:ey6DN/Z2LdhaxkVdMEd9I/a0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93371:UBoAehEQWEAM0Q4CEPkCFAQqSSNAA7Q0FYDBwFEksDYQA5ggQSAp4wwOlEJOIixBK0lWgQ+hNYF0CLQiKLSICKINBmLzBSwQ

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:000000000000ffff
Perceptual Hash:ca0bb16ce6cc4cb3
Difference Hash:a1c9796169330d0c
Wavelet Hash:18283c383818ffff
Color Hash:#53ac77

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data