Security Scan Report: bostad.io

Redirected to: https://bostad.io/

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Submitted: Jan 15, 2026, 4:26:36 PMCompleted: Jan 15, 2026, 4:28:03 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is bostad.io and was registered NaN years ago.

Submitted URL: https://Bostad.io

Effective URL: https://bostad.io/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no immediate security concerns.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

Bostad.io - AI Meets Real Estate | Auction Forecasting

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(37%)

Domain Information

The domain name 'Bostad.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The second-level label 'bostad' is 6 characters long with two vowels and 4 consonants. Word splitting yields 2 words: bo, stad. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://Bostad.io

Page Load Overview

1.07s
Total Load Time
10
HTTP Requests
3
Domains
179 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,846 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software37% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
37%
corporate
35%
real estate property
31%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4108.138.26.119United States
3142.251.208.10United States
3172.217.20.131United StatesUnknown
103--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194536359A1811533F32B8898A7EB7F597EB4C487920E88B876F8A01BDF04DF552D9730

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QLjBgHHe2GGqMs2kGBR0tPfeUIpsi15773elOB0/p9u7bzXdf9c7jYg0yG7NSVrc:Qn6qO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64645:GZBGEZR2GEpCII8UhAlBghzEAIDiCQKGAABpmbSxBRAeukQAWUnACoJOMUIAAcOaZBZEIARA0DNgDAgo6TCEhCgeKyqRgwQ7

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:ffffffff00000000
Perceptual Hash:f2d458d452d652d6
Difference Hash:84320c0d4d0d0d09
Wavelet Hash:ffffffff00000000
Color Hash:#2d3386

Other Hashes

Scan History

Scan history not available

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