Security Scan Report: fogdovik.se

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Submitted: Sep 30, 2026, 12:20:29 AMCompleted: Sep 30, 2026, 12:21:06 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 82%

1
Risk Score

Legitimate Swedish community association site on its own domain: no forms, no impersonation, no threat-intel, YARA, or IDS hits. Only unranked status and unpublished domain age.

Safety Factors (5)
Self-branding: page title/header match the domain's own organization, no impersonation of another entity
No credential or payment collection anywhere on the page
Publishes verifiable postal address in Strängnäs municipality
Content is coherent local-association information (roads, forest, harbour, bathing area, annual meeting)
Hoster-associated analytics script consistent with the stated 'Hemsidestjänst från Vägfas' provider
Domain age information unavailable

Details

Page Title

Välkommen till Viks Samfällighetsförening

Scan Type

public

Domain Name Analysis

You're looking at domain 'fogdovik.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'fogdovik' stretches across 8 characters with three vowels and 5 consonants. Tokenizing the label suggests 3 words: fog, dov, ik. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fogdovik.se

Page Load Overview

2.27s
Total Load Time
638 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,500 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property61% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
61%
documentation technical
34%
government public service
34%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
546.21.97.139Sweden
AS42708Glesys AB
5185.39.146.233Sweden
AS42708Glesys AB
102--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7F17131CCD1383B422726CF21B6D32EB6D7521DC217AC14B2FD47CAABD5E5059B2A4A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:IiUTcx5IIeQtgjms0CsGaGuaKuKF2Ttr2fhUDD9xuInq:fUgvIIeQtgjT6GFKuKmr2fmDD9xu9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7624:yACCjNEwYRhEaKawOjVwAExASByAEAgumkASHsaCwAAEIAWCQAwICIASHAxIwuiDgwBYYEIqCpABhBGzUkIhLIL8QXUqoQCo

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data