Security Scan Report: www.booli.se

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Submitted: Oct 16, 2025, 9:54:21 AMCompleted: Oct 16, 2025, 9:56:00 AMpubliccompleted
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Summary

This website contacted 39 IPs in 4 countries across 13 domains to perform 88 HTTP transactions. The main domain is booli.se.

Submitted URL: https://www.booli.se/sok/slutpriser?areaIds=115347?utm_source=G%C3%A4rdet%2C+Stockholm&utm_medium=email&utm_campaign=statistikmail

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑known real‑estate service in Sweden
No suspicious forms or data collection beyond standard contact fields
Domain age information unavailable

Details

Page Title

Slutpriser för bostäder på Gärdet – Booli

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

real estate property

(25%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.booli.se' is registered with subdomain 'www'. Count 5 characters in 'booli' split between three vowels and two consonants. Splitting it apart reveals 2 words: boo, li. Expect 2.5 characters per word on average. 'bono' most strongly signals Esperanto. You may catch it in Bosnian and Serbian as well. Overall, 'www.booli.se' reads as Esperanto.

Screenshot

Security scan screenshot of https://www.booli.se/sok/slutpriser?areaIds=115347?utm_source=G%C3%A4rdet%2C+Stockholm&utm_medium=email&utm_campaign=statistikmail

Page Load Overview

46.51s
Total Load Time
88
HTTP Requests
13
Domains
676 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:7,824 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property25% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.174.46.44United States
AS16509AMAZON-02
213.32.121.102New York, New York, United States
AS16509AMAZON-02
2216.58.206.34United States
AS15169GOOGLE
213.32.121.33New York, New York, United States
AS16509AMAZON-02
2104.17.24.14United States
AS13335CLOUDFLARENET
220.71.79.99Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
216.16.106.240Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
213.32.121.125New York, New York, United States
AS16509AMAZON-02
234.120.243.188Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2185.24.134.203Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
8839--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1520485748206513B52275AD57531BB2BF1DBD21CCBE3988CA3ACC6A59FEACC1DE5400E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KnjkhwYFcnuH45kot+VvwA3l0m+DJDVi4C1y558QbwwTGjp40NVeQgeDAud:qQrF2uYmotKv9Vt+1DV5MK58QswTGjya

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:180690:AgTQEjkAcULyIGxAoS5jJIgoiEwg0BucZIEsIEAAIAHokH8DQIKJzQLQSsEkEILIAwIBeYiQAEQYoCVwAKKA5ADQgEJXwhgQ

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:ffe0ece4ece0e0e0
Perceptual Hash:f39b8cac93a4849b
Difference Hash:c4088989190444c8
Wavelet Hash:ffc0ecc4ece0e0e0
Color Hash:#3c3a78

Other Hashes

Crop Resistant:c4088989190444c8

Scan History

Scan history not available

Unable to load historical scan data