ScanMalware.com

Security Scan Report: nbhus.se

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c13676c5-d6c8-4cd3-89ff-18bb13af35f6Domain and IP registration (RDAP)/api/v1/rdap/c13676c5-d6c8-4cd3-89ff-18bb13af35f6How often this domain was scanned/api/v1/domain/stats/nbhus.seScan history for this domain/api/v1/domain/history/nbhus.se?limit=15
This website contacted 9 IPs in 2 countries across 7 domains to perform 65 HTTP transactions. The main domain is nbhus.se.

Submitted URL: https://nbhus.se

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Swedish house-building company site with self-branding matching nbhus.se, ordinary contact forms, no credential or payment collection, and no threat-intelligence or malware signals.

Safety Factors (5)
Self-branding detects NBHUS matching the nbhus.se domain
No password or payment fields present
Contact form is same-origin and collects only ordinary contact details
No Indicators of Compromise or malware detection hits
Established-style business content with organisation number and contact information
Domain age information unavailable

Details

Page Title

Hustillverkare NBHUS - Tillsammans med er skapar vi ert drömhus.

Scan Type

public

Domain Name Analysis

The domain 'nbhus.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The second-level label 'nbhus' is 5 characters long with one vowel and 4 consonants. Tokenizing the label suggests two words: nb, hus. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nbhus.se

Page Load Overview

1.89s
Total Load Time
2.2 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:6,334 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property52% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
52%
documentation technical
49%
adult content
46%
blog personal website
43%
government public service
33%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
946.30.215.157Copenhagen, Capital Region, Denmark
AS51468One.com A/S
7142.251.20.97Google · CDNUnited States
AS15169Google LLC
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
7216.239.34.36Google · CDNUnited States
AS15169Google LLC
7142.251.127.155Google · CDNUnited States
AS15169Google LLC
7142.251.13.94Google · CDNUnited States
AS15169Google LLC
7216.239.32.36Google · CDNUnited States
AS15169Google LLC
7142.250.154.94Google · CDNUnited States
AS15169Google LLC
7142.251.127.154Google · CDNUnited States
AS15169Google LLC
659--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB24089E97BA793A310783D0BD91779855FCC213F50189E9BCBE91688BC369300B35AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rwaBVXawV+prd7cpTy1iUcpJhijyEXcGf4EH85yJN:r5VXLnpXEXcG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224127:yAGCHDLAgODQGzAJDQFA0GcAYRHTBWAwADorSUKAKA4KoQA7BQueIYSURHjCgqEF+DUqUIjBDJEhBL1EgABAAT9gEiqCwKCH

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:8181000000ffff00
Perceptual Hash:fa39add043d748a1
Difference Hash:3b2b33b1a9b5080b
Wavelet Hash:cb8109185cffff01
Color Hash:#6653ac

Other Hashes

Crop Resistant:3b2b33b1a9b5080b,b4a4f0d26658ab93,565e98722adcbaba,8f99998cec2735b5,3b2b2b3bb0e8b195,800104c3b38b8b64

Scan History

Scan history not available

Unable to load historical scan data