Security Scan Report: mobelgrossen.se

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 63 HTTP transactions. The main domain is mobelgrossen.se.

Submitted URL: https://mobelgrossen.se

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Defunct Swedish furniture store page announcing its split into two successor companies. Self-branded, no forms, no IoC, no malware, no impersonation — no meaningful risk signals.

Safety Factors (5)
Domain in page title/meta matches the scanned hostname (self-branding, not impersonation)
No forms of any kind — no credential or payment harvesting surface
No Indicators of Compromise, no YARA/JS malware matches, no IDS alerts
All JavaScript served from the site's own domain; no cross-origin credential exfiltration detected
Defunct-store notice redirects users to successor companies' official-looking domains
Domain age information unavailable

Details

Page Title

Snygga moderna möbler, vitrinskåp, bokhyllor - Möbelgrossen

Scan Type

public

Domain Name Analysis

The domain name 'mobelgrossen.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'mobelgrossen' spans 12 characters holding 4 vowels versus 8 consonants. It segments into four words: mob, el, gross, en. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mobelgrossen.se

Page Load Overview

0.39s
Total Load Time
387 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Text Length:360 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6346.30.213.186Copenhagen, Capital Region, Denmark
AS51468One.com A/S
631--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3737420A79F752FB6375029F83D5EE8001D913BC3660E59BE2DA67FF4494A818335B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:h+JoI85y5jsxMiNT+9jgm135bda4zw7NeejNeemUNeeq:8njsxMiNT+9jgm135bdaMwWb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79428:EQL2DlhE8JhC5sEgDgBASoILh4uL6hVGZsAgAgZCTYCDQKpJAkzRCKACkApqAAORRAEVGBwjlQIl/VwxQEAtp8ylSZwAgJRA

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:001c1c1c1c1c1818
Perceptual Hash:9a98676569696666
Difference Hash:6870787171616969
Wavelet Hash:183e3e3c3c3c3c3c
Color Hash:#5140bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data