Security Scan Report: vasterastriathlon.se

Redirected to:
https://www.vasterassim.nu/aktiviteter/triathlon/information/
Site favicon
Submitted: Sep 25, 2026, 2:40:12 AMCompleted: Sep 25, 2026, 2:41:05 AMpubliccompleted

This website contacted 12 IPs in 3 countries across 11 domains to perform 49 HTTP transactions. The main domain is vasterassim.nu and was registered 20 years ago.

Submitted URL: https://vasterastriathlon.se

Effective URL:

https://www.vasterassim.nu/aktiviteter/triathlon/information/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Official Västerås Simsällskap swim/triathlon club page reached via an ordinary domain redirect. Its login form is the club's own member sign-in; no phishing, impersonation, or malware signals found.

Safety Factors (5)
Self-branding matches the final domain (Västerås Simsällskap / vasterassim.nu)
Forms are the organisation's own member authentication, not third-party credential capture
No Indicators of Compromise, YARA malware, IDS alerts, or obfuscated JavaScript
Legitimate cross-origin flow explicitly detected (same-organisation SSO)
Substantial legitimate content: course schedules, activity pages, federation links
Domain age information unavailable

Details

Page Title

Information

Scan Type

public

Domain Name Analysis

The domain 'vasterastriathlon.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The registrable portion 'vasterastriathlon' spans 17 characters containing 6 vowels alongside eleven consonants. Tokenizing the label suggests 3 words: vaster, as, triathlon. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vasterastriathlon.se

Page Load Overview

9.19s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:10,596 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical72% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
72%
adult content
35%
news/blog
20%

Detected Features

Login Form
Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5139.162.150.185Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
4194.9.94.86Sweden
AS39570Loopia AB
4172.105.77.94Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
457.144.244.128Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
4151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4912--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C4274C7D940B80A245B40AEF7966308CE27946CDF59EFF6B4DB86B4C2869D411A3F12

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:McKgiZCMgDHYGgPSP2H6uJJ5LkO9uEjI3VbDp5s67VsFbf:MD5CMgDHYGg6P2H6uJJ5LkO9uEjI3Vbu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12646:GJhZKwkECJMITCCaRKNQMYMAmIAgJcYMEhFYIIIOAkQSB6rUYNjr3EElwuohRXAIc6ZmAkhUDhAggFYQCBAmHBiKNAgEYWIE

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:00ff3e3c3c3c3cff
Perceptual Hash:83fdf8522d027e45
Difference Hash:2426fcd4d0fcfceb
Wavelet Hash:00ff041c3c3c3cff
Color Hash:#e06cce

Scan History

Scan history not available

Unable to load historical scan data