Security Scan Report: 2hus.se

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is 2hus.se.

Submitted URL: https://2hus.se

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Static Swedish property info page for '2 HUS' in Örebro, self-branded to match 2hus.se. No forms, no impersonation, no threat-intel, hunting rule or IDS hits. Legitimate.

Safety Factors (4)
Title/meta match the domain (self-branding, not impersonation)
No forms or data-collection fields of any kind
No Indicators of Compromise, hunting rule, IDS or Safe Browsing findings
Content is a static, dated property information page consistent with the real-estate classification
Domain age information unavailable

Details

Page Title

2 HUS 2HUS www.2hus.se, Sveavägen 5, S:a Birgittagatan 17 B, ÖREBRO

Scan Type

public

Domain Name Analysis

Domain '2hus.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label '2hus' stretches across 4 characters split between 1 vowel and 2 consonants; bonus characters include 1 digit. It segments into 2 words: 2, hus. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://2hus.se

Page Load Overview

0.96s
Total Load Time
92 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Text Length:373 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property75% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.189.49.216Stockholm, Stockholm County, Sweden
AS206170Yelles AB
25.150.195.197Stockholm, Stockholm County, Sweden
AS8473Bahnhof AB
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E051E267F1880D7EEA50673AFA567BC40FE1741053411CECB50B99AF88C17A8C9AC3AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:WEn3VlFLKNylNzpKXZJZW53XbzWHtJZWQ7BJJZW2tqJZv:Vn/F2NoNaJK3XbzAtJvBJJjtqJd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2908:AAgASCCCAkMBACghQAgAHqAAAKAAgAAABEgEgAQMeQAEgACAAIgABAAAIAgAABAIygBIERQCYAAQIJAEDAUGAABQA4AQACxA

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:e7e3c3c3ffe7ffff
Perceptual Hash:b131cfcece303139
Difference Hash:08169696080c0800
Wavelet Hash:040000002727273f
Color Hash:#2d8658

Scan History

Scan history not available

Unable to load historical scan data