Security Scan Report: xn--gonexperten-qfb.se

Redirected to:
https://www.ogonexperten.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 64 HTTP transactions. The main domain is xn--gonexperten-qfb.se.

Submitted URL: https://xn--gonexperten-qfb.se

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Local Swedish optician site on its own matching domain; no forms, no impersonation, no threat-intel, hunting rule or IDS hits. Only a common right-click blocker. No evidence of malicious activity.

Safety Factors (5)
Self-branding: page title and content match the served domain (Ögonexperten / ogonexperten.se), no third-party brand presented as its own
No forms of any kind, so no credential or payment harvesting surface
No threat-intelligence, hunting rule, kit-roster, IDS or Safe Browsing hits
Content is ordinary local-business material: staff names, address, opening offers, cookie-consent banner, Google Analytics disclosure
Third-party requests limited to widget.reco.se; no credential exfiltration detected
Domain age information unavailable

Details

Page Title

Ögonexperten

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'xn--gonexperten-qfb.se' is registered. Its registrable label 'xn--gonexperten-qfb' stretches across 19 characters holding 4 vowels versus twelve consonants, along with 3 hyphens. Word splitting yields 6 words: xn, gon, expert, en, q, fb. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

[Kontakt] i i Optiker Varberg

Page Load Overview

8.51s
Total Load Time
1.2 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:4,005 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical29% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
29%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16185.84.28.15Sweden
AS201146lopnet AB
123.174.46.15Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
123.174.46.108Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
123.174.46.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
123.174.46.80Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
645--

Detected Technologies11

WordPressv7.1.4
100%
JQueryv3.7.1
100%
100%
PHPv8.3.36
40%
40%
Elementorv4.3.6
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB6493763C97512A232F852B7097EE4C225447C4FAA668D9F57D911AC0FDF8133E8B22

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:E0EXRVa0aJH+xwK+Y1lvg46+JypU/kLwgPfHU7xUNeCmwPLBW:EH3atg+Y1lvgfW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326456:JNGBCAAAiQd5xV3EBkMRlhAoQwxs4UOYigFMABGIpIJwgEFM7RxyYkFII4YhwSohKAIfBEhEGEKqAxMAIDIX4pq/JAmGAOgA

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:ffc04838787e7838
Perceptual Hash:cc3389a5a3ce947a
Difference Hash:c59191e1d4e4f0f0
Wavelet Hash:ffc04838f87a7838
Color Hash:07180000000

Scan History

Scan history not available

Unable to load historical scan data