Security Scan Report: www.bonificaumbra.it

Redirected to:
https://bonificaumbra.it/
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Submitted: Jun 2, 2026, 9:20:44 AMCompleted: Jun 2, 2026, 9:22:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is bonificaumbra.it and was registered NaN years ago.

Submitted URL: https://www.bonificaumbra.it

Effective URL: https://bonificaumbra.it/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate; its age and lack of malicious indicators outweigh the unranked status.

Safety Factors
Long‑standing domain registration
Absence of credential or payment collection
No external threat intelligence matches
No malicious YARA detections
Domain age information unavailable

Details

Page Title

Consorzio della Bonificazione Umbra

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(44%)

Domain Information

The domain name 'www.bonificaumbra.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Its registrable label 'bonificaumbra' stretches across 13 characters holding six vowels versus seven consonants. Breaking it apart gives four words: bon, if, ica, umbra. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bonificaumbra.it

Page Load Overview

3.61s
Total Load Time
87
HTTP Requests
2
Domains
11.5 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:2,881 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
44%
corporate business
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87217.64.202.155Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
871--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCD33A35839C823E14A782D9E970FA64E15EF297C6C7859CF3FE869457D2ED0F04A188

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0qE6/qd8Ul/ET/Ok/O+xdmBpuV1ab6QCuQYSMhne8/Itl3wNCKuePtNLu942/BH1:TE6Ts3vk48BGGoMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140920:IgawMgzDYoGRmEBiJMeiAxWgNChQioAskqAgvnKSAQqCwKlFpuGYkQCoZUdwAIkIwAYQMAKAI40MYOQopsFCpTGBxWiGEQQb

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:ffb1000000ffffff
Perceptual Hash:bd1ecac11530666f
Difference Hash:7463673e46040f0b
Wavelet Hash:bf80000000ffffff
Color Hash:#611f93

Scan History

Scan history not available

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