Security Scan Report: eol.se

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Submitted: Sep 30, 2026, 11:30:19 AMCompleted: Sep 30, 2026, 11:30:55 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Eskilstuna OL orienteering club site on an 8-year-old domain. Self-branded, no forms, no threat-intel, YARA or IDS hits. No malicious indicators found.

Safety Factors (5)
Established domain (~8.5 years old)
Self-branding: title/meta match the site's own club name and domain
No credential, login or payment forms present
No threat-intelligence, YARA, IDS or JavaScript behavioral signals
Only third-party resources are a privacy analytics CDN and the club's hosting provider
Domain age information unavailable

Details

Page Title

Eskilstuna OL - KlubbenOnline

Scan Type

public

Domain Name Analysis

The domain name 'eol.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'eol' is 3 characters long with 2 vowels and 1 consonant. Word splitting yields two words: e, ol. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eol.se

Page Load Overview

0.97s
Total Load Time
853 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,379 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking63% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
63%
adult content
53%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
546.21.106.215Stockholm, Stockholm County, Sweden
AS42708Glesys AB
2185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
280.67.0.36Sweden
AS42708Glesys AB
2185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
114--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197826575A6F1243B43E7C2D59234AB297F807227CE461405B3FC12A2AFC6CA2DD77598

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tBP3OgLHrkZWpG+1nHUo/Ua2t4cIKiPl2qJkvN:tBdGyHUo/e4cIKiPl2qJG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18670:QMYgA2BAQgIKIOABAkACUAlESIrAFYbm0R0NHC7AoODABOqg4ODyG28EyC1EQaOIS3EDkkb4XwCEYQfAhIoCEEDEAxSKFKAS

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:81c3fee6f7ffefff
Perceptual Hash:b26d39396632c98b
Difference Hash:0a16e4acecd8cde9
Wavelet Hash:00007e46767e4f7f
Color Hash:#87c5b6

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data