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Security Scan Report: www.ipes.bz.it

Redirected to: https://www.ipes.bz.it/de/home

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Submitted: Jan 12, 2026, 3:45:49 AMCompleted: Jan 12, 2026, 3:46:50 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is ipes.bz.it and was registered NaN years ago.

Submitted URL: https://www.ipes.bz.it/

Effective URL: https://www.ipes.bz.it/de/homeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate public institution site with no security concerns.

Safety Factors
Established domain with long registration history
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Public‑sector branding and multilingual content consistent with legitimate institution
Domain age information unavailable

Details

Page Title

Institut fūr den sozialen Wohnbau

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

real estate property

(92%)

Domain Information

Domain 'www.ipes.bz.it' uses the Italian country-code top-level domain (.bz.it) with subdomain 'www'. The core label 'ipes' covers 4 characters containing two vowels alongside two consonants. Word splitting yields 2 words: i, pes. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ipes.bz.it/

Page Load Overview

3.14s
Total Load Time
33
HTTP Requests
8
Domains
642 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:9,067 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
92%
government public service
73%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5185.152.64.17United States
AS60068
5188.114.96.3United States
AS13335CLOUDFLARENET
5185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
5146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
5185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
336--

Detected Technologies7

Open-Graph-Protocolvwebsite
100%
Azure
50%
Kontent.ai
40%
HSTS
40%
Azure Front Door
40%
iubenda
20%
Siteimprove
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8040812BBC0213A11A757D86D316B7CE95BA087C3560EB8B1AED7902F86FD3780E517

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yuOI5ZTEWwprjF4yOKBt/hNVKej41yPWZ9PnakffSh3D2hBgo9BYzSP2cLFSS:yuOI5xKU9BxLFSS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177422:YgBshrUwAgdhgMFRABFIRBOwOBniNiUC1gQhpa0BKAkHJhQARirCJCCDACjmIDoOwUYBUKCBANxAyExnYQQOgAiDohAiEgAm

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:ff87878fdf870000
Perceptual Hash:bebc41c3cc4db898
Difference Hash:331c3c3c3c1c61e9
Wavelet Hash:ff878f8f8f8f0000
Color Hash:#9687c5

Other Hashes

Crop Resistant:331c3c3c3c1c61e9,4026d1c9c9d00440,0c34b4b4766c644d,3c1c3c3cc169693d

Scan History

Scan history not available

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