Security Scan Report: storvind.se

Redirected to:
https://jornby.wordpress.com/butiker-foretag/investeringsprojekt/storv...
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Submitted: Sep 27, 2026, 2:00:10 PMCompleted: Sep 27, 2026, 2:00:47 PMpubliccompleted

This website contacted 35 IPs in 3 countries across 27 domains to perform 74 HTTP transactions. The main domain is jornby.wordpress.com and was registered 6 years ago.

Submitted URL: https://storvind.se

Effective URL:

https://jornby.wordpress.com/butiker-foretag/investeringsprojekt/storv...
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational WordPress.com page for Storvind ekonomisk förening. No credential or payment forms, no impersonation, and no content-malware evidence. The single reputation-only threat-intel match is not page-level risk.

Safety Factors (5)
Self-branding detected: page title and meta tags match Storvind/storvind.se rather than impersonating another entity
No credential, login, or payment form exists on the page
Cross-origin form submissions are legitimate WordPress.com subscription and comment flows, not credential exfiltration
og:type is article, indicating news/blog content rather than a deceptive login or payment page
No content-malware indicators, YARA hits, IDS alerts, or Safe Browsing findings
Domain age information unavailable

Details

Page Title

Storvind ekonomisk förening, www.storvind.se | Jörn

Scan Type

public

Domain Name Analysis

The domain name 'storvind.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Count 8 characters in 'storvind' split between 2 vowels and six consonants. Word splitting yields four words: s, to, rvi, nd. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://storvind.se

Page Load Overview

1.82s
Total Load Time
1.5 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:4,165 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software31% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
31%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.0.78.12San Francisco, California, United States
AS2635Automattic, Inc
2194.9.94.85Sweden
AS39570Loopia AB
2192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
2192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
2192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
218.66.147.16Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2192.0.78.23San Francisco, California, United States
AS2635Automattic, Inc
2104.18.15.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.41.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7435--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BA32971A15C042A7B27079AB016B32A746E8E3AC64588F8B5FF142C1FC1DF616B772C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Q/dhc/iUr1+VIG+RRcS3XR0vBa1DLu3MrFNmQ:AUrEI/F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103511:OgGx3AoXJiQQIYAAkSRpDGOSlgoeBsjKiuFKACBgIQTBnAIQAQ0ygBAwYAcmACo0QIkBfELgSmQCaBkAJkxQgJIBYSLB2QyA

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:ff81fffbf1f1f1ff
Perceptual Hash:edb2926d9692c592
Difference Hash:662b9ce7e3a3e34c
Wavelet Hash:060086f1f1f171fe
Color Hash:#98c587

Scan History

Scan history not available

Unable to load historical scan data