Security Scan Report: rosvallssnickeri.se

Redirected to:
https://www.rosvallssnickeri.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 9 domains to perform 67 HTTP transactions. The main domain is rosvallssnickeri.se.

Submitted URL: https://rosvallssnickeri.se

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate small-business site for a Gotland carpentry and glazier firm. Self-branded domain, standard contact form only, no credential/payment fields, and no threat-intelligence, hunting rule or exfiltration evidence.

Safety Factors (5)
Self-branding: page title and meta tags match its own domain name
No credential or payment fields on the page; single contact form only
No Indicators of Compromise, hunting rule malware, or Safe Browsing hits
Consistent, specific business details (established 2007, family business, physical addresses, phone numbers)
Contact form submits same-origin; no cross-origin credential submission or exfiltration
Domain age information unavailable

Details

Page Title

Rosvalls Snickeri - Ett snickeri och glasmästeri på Gotland

Scan Type

public

Domain Name Analysis

You're looking at domain 'rosvallssnickeri.se' on the Swedish country-code top-level domain (.se) without a subdomain. The core label 'rosvallssnickeri' covers 16 characters split between five vowels and 11 consonants. It segments into five words: ros, vall, s, snicker, i. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rosvallssnickeri.se

Page Load Overview

1.48s
Total Load Time
4.1 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:1,235 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7198.185.159.144Squarespace · CLOUDNew York, New York, United States
AS53831Squarespace, Inc.
6198.49.23.144Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
6198.49.23.145Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
6146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
634.160.236.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
6146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
623.200.24.168Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
6198.185.159.145Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
623.200.24.137Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
6198.49.23.177Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
6711--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197F3F8B504185C2C97535CD1128E3A3E6D7EE122F9C48848BDFC4EBAAFCDEA6116271D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D0FO325KAKMTmY458+6wlt4IaXPTMEs2rY6ahRZsd3BcckimSH7KLM6WTpEXpOTZ:Uj/+PbnV4Q/fDd2uDzIw3CQkz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171615:oygFEAJCojCwEEAAKKhQkEEZi4cQEMCkHBCp/yhSDBTSCBJlBtzUQAEAwLE1JAn0C7CQYTQGSM4RCiQsxnLAYACAABB6gCCT

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:3ce02c10f8f8fcff
Perceptual Hash:da16b65da51282f5
Difference Hash:c4c5d9e91291c100
Wavelet Hash:38602410f8f8fcff
Color Hash:06c01000000

Scan History

Scan history not available

Unable to load historical scan data