Security Scan Report: www.consorziobim-drava.ud.it

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Submitted: Jun 10, 2026, 4:14:23 AMCompleted: Jun 10, 2026, 4:15:38 AMpubliccompleted
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Summary

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

Submitted URL: https://www.consorziobim-drava.ud.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no phishing, malware, or scam indicators.

Safety Factors
Well‑established domain
Self‑branding aligns with domain
No malicious signatures or network alerts
Domain age information unavailable

Details

Page Title

Consorzio BIM Drava

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(93%)

Domain Information

The domain name 'www.consorziobim-drava.ud.it' uses the Italian country-code top-level domain (.ud.it), featuring subdomain 'www'. The second-level label 'consorziobim-drava' is 18 characters long split between seven vowels and ten consonants, plus 1 hyphen. Breaking it apart gives six words: cons, or, zio, bim, d, rava. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.consorziobim-drava.ud.it/

Page Load Overview

5.32s
Total Load Time
69
HTTP Requests
2
Domains
1.6 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:3,051 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
93%
government public service
67%
real estate property
32%
technology software
32%
blog personal website
31%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
69193.43.177.235Italy
AS44831Insiel- Informatica per il sistema degli enti locali S.p.A
691--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13772E5A8EC80F1297557C15AA795BCAE6332C507C6098D64F09F74D8BFC3E891A17BC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:rexbYc0osMVuE+wTWR0RhnrdR6mPYbq70RLxpk+KcpaU/2:YmR0RhH6s70RLxp/Tol

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16924:wSIUJwQEHgEmSTBDoEB+KwIRkICjKIQAjgRtQBI0AA5xAUhJtIQGMAiJQ4SHEDNVRQoKKEESBkJMqE+QDjxACKJihEABfFYE

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:0000001818000000
Perceptual Hash:cc663399cc663399
Difference Hash:0000081010080000
Wavelet Hash:0c0c3c3c1f1f0f0f
Color Hash:#e06c7d

Other Hashes

Crop Resistant:0000081010080000

Scan History

Scan history not available

Unable to load historical scan data