Security Scan Report: orebrofightgym.se

Redirected to:
https://www.orebrofightgym.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 12 domains to perform 161 HTTP transactions. The main domain is orebrofightgym.se.

Submitted URL: https://orebrofightgym.se

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

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Legitimate Swedish MMA club site for Örebro Fight Gym: own-brand domain, informational content, no forms, no credential or payment collection, and no threat-intelligence, hunting rule or IDS hits.

Safety Factors (5)
Domain matches the displayed own brand (self-branding confirmed)
No credential, login or payment forms present
Physical address and membership/federation details consistent with a real local sports club
Clean threat intelligence, no malicious JavaScript, no network IDS alerts
Contact only via a plain mailto address for trial-training signup — no data harvesting
Domain age information unavailable

Details

Page Title

Örebro Fight Gym — MMA i Örebro | Boxning, Thaiboxning, Brottning & Submission

Scan Type

public

Domain Name Analysis

The domain name 'orebrofightgym.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'orebrofightgym' is 14 characters long holding four vowels versus ten consonants. Splitting it apart reveals four words: or, ebro, fight, gym. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://orebrofightgym.se

Page Load Overview

1.03s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:10,126 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
10192.178.183.95Google · CDNUnited States
AS15169Google LLC
10142.251.14.94Google · CDNUnited States
AS15169Google LLC
10146.75.123.42Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
102.16.168.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.16.168.40Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.16.168.52Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.16.168.55Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.16.168.53Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.20.245.168Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
16116--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19213F772E0F19437106381E2AA652B6A6DE6C50BCA075401B3FD87EA8FD6F81DC3740E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dua61X1MyuLQKAkQ0gheYGmtRJdd9yBpPcC+kCX/WoWu8djq:oL1X1MybkQ0gheBmtLfoPcC+kE/WoWa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42281:ChMFEsEDoEsDCFJIUuAAyz4EQOChIEIBVHhAmEQIUCwgAkBrBawNCJJAjIRpUSCS4waDVCwEizS2CgSKCcCWBoDkAqHCAIZ9

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:04647c7c3c206001
Perceptual Hash:c3d338389ec58e93
Difference Hash:9dc9c9cdc9c9d1e9
Wavelet Hash:05657d7d7d716101
Color Hash:38e00000000

Scan History

Scan history not available

Unable to load historical scan data