Security Scan Report: www.booli.se

Redirected to: https://www.booli.se/projekt/16711?utm_source=booli&utm_medium=email&utm_campaign=statistics-mail&utm_content=project-list

Submitted: Oct 16, 2025, 8:31:55 AMCompleted: Oct 16, 2025, 8:35:19 AMpubliccompleted
Loading additional data...

Summary

This website contacted 56 IPs in 4 countries across 14 domains to perform 110 HTTP transactions. The main domain is booli.se and was registered NaN years ago.

Submitted URL: https://www.booli.se/token-auth?next=/projekt/16711?utm_source=booli&utm_medium=email&utm_campaign=statistics-mail&utm_content=project-list&token=083d65e75151e1992c3105f042e77977

Effective URL: https://www.booli.se/projekt/16711?utm_source=booli&utm_medium=email&utm_campaign=statistics-mail&utm_content=project-listRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate real estate site with no security concerns.

Safety Factors
Established domain age (> 5 years)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Page content aligns with the official Booli real‑estate service
Domain age information unavailable

Details

Page Title

Välkommen till Tullholmsviken – Booli

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

real estate property

(98%)

Domain Information

Domain 'www.booli.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. Its registrable label 'booli' stretches across 5 characters with three vowels and 2 consonants. Breaking it apart gives 2 words: boo, li. Median word length comes out to 2.5 characters. 'bono' is most common in Esperanto usage. Usage also turns up in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://www.booli.se/token-auth?next=/projekt/16711?utm_source=booli&utm_medium=email&utm_campaign=statistics-mail&utm_content=project-list&token=083d65e75151e1992c3105f042e77977

Page Load Overview

1.70s
Total Load Time
110
HTTP Requests
14
Domains
955 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:1,924 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property98% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
98%
government public service
50%
news media journalism
48%
corporate
35%
technology software
31%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7113.32.121.48New York, New York, United States
AS16509AMAZON-02
83.174.46.38United States
AS16509AMAZON-02
7104.18.30.220United States
AS13335CLOUDFLARENET
6172.217.23.98United States
AS15169GOOGLE
6185.24.134.203Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
220.71.79.99Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
216.16.106.240Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
234.120.243.188Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2104.17.25.14United States
AS13335CLOUDFLARENET
1104.26.2.68United States
AS13335CLOUDFLARENET
11056--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126F3B22BA2E1B86CF77F4225B661725C31116003F526CCABB10D52DB7B83DD48A7B66C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:L4buD3xnOtNqOtehpv5s5sa7BPSaVen/7nrwd3gfNlOsDmUa4xkdeINE9fqJ4fA4:zF2eh55jmPSpnrwBkZBffLutUNn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167573:Y+kEUhGAgarEjWngswAwzxLlPKNgRAUVACIkKiclgorMVAC4VBCEIOMTVQAETBEBBAAW0BsJAcTKCKAgAgPUiZuRQCUAYDol

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:ffc3c3c3cbffffdf
Perceptual Hash:bd6c92c28bcd9293
Difference Hash:a2161e161220321a
Wavelet Hash:58838383c3dfc3cb
Color Hash:#1f2d93

Scan History

Scan history not available

Unable to load historical scan data