Security Scan Report: brfnet.se

Redirected to:
https://www.brfhemsidan.se/
Site favicon
Submitted: Sep 29, 2026, 4:00:20 PMCompleted: Sep 29, 2026, 4:01:22 PMpubliccompleted

This website contacted 13 IPs in 2 countries across 12 domains to perform 43 HTTP transactions. The main domain is brfhemsidan.se and was registered 29 years ago.

Submitted URL: https://brfnet.se

Effective URL:

https://www.brfhemsidan.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

Legitimate Swedish company (BRFNET) offering websites/apps to housing cooperatives. Own-brand self-hosted page, no credential or payment forms, no Indicators of Compromise, YARA, IDS or Safe Browsing hits.

Safety Factors (5)
Swedish company BRFNET selling website/app services to bostadsrättsföreningar, with named partners (Besqab, Bovieran, Stena Fastigheter) and customer testimonials
Entry domain brfnet.se registered 2009 (well-established registrant)
Forms are ordinary: search, and a demo-request form capturing organisation name and an email address for sending demo credentials
Anti-spam honeypot field ('Ange rotfruktens namn här') present — consistent with a professionally maintained site
Third-party scripts are mainstream (Google Analytics, Google Fonts, cdnjs, ajax.googleapis.com)
Domain age information unavailable

Details

Page Title

Hemsida och app till er BRF - Hemsidor för bostadsrättsföreningar

Scan Type

public

Domain Name Analysis

The domain 'brfnet.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The core label 'brfnet' covers 6 characters holding 1 vowel versus 5 consonants. It segments into 2 words: brf, net. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://brfnet.se

Page Load Overview

8.35s
Total Load Time
19.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,424 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
65%
technology software
62%
real estate property
44%
blog personal website
44%
finance banking
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.99.37.133Sweden
AS35041Binero AB
3185.99.36.63Sweden
AS35041Binero AB
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.97Google · CDNUnited States
AS15169Google LLC
3172.217.208.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.127.157Google · CDNUnited States
AS15169Google LLC
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
4313--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10493F812E358683F450B47D9B620326CA14FB7BE66E14E50B2BB4AB07683FECF5551C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ihgXMtfH42N69N2QQCc1qqYlyB/chsvLhvasTl5ZnUFjJKedeMwwVsa41oMl92ad:ihPfHBN69NeCc1qqYlyB/cGvLhvasTlb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95421:LIQpFpFI0rUGlNn4AYKElcSsDoCCaDODpdgEESRVAwaIy+SIEGQIyFIChA4wyAMTgchAAmFgoGwI0ihghaRbDSiDoyIMACuO

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:fdff00000500047e
Perceptual Hash:82ead97a89726a96
Difference Hash:39f0e4caed89c8d0
Wavelet Hash:fdff17070300027f
Color Hash:#3a7853

Scan History

Scan history not available

Unable to load historical scan data