Security Scan Report: www.consorziobim.com

Submitted: Jan 24, 2026, 5:06:30 AMCompleted: Jan 24, 2026, 5:07:39 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 21 HTTP transactions. The main domain is consorziobim.com and was registered NaN years ago.

Submitted URL: https://www.consorziobim.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well-established domain with long registration history
Consistent branding and meta information
Absence of credential or payment collection forms
No suspicious redirects or external links
No malicious Indicators of Compromise or malware detected
Domain age information unavailable

Details

Page Title

Consorzio BIM

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(87%)

Domain Information

The domain name 'www.consorziobim.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'consorziobim' stretches across 12 characters holding 5 vowels versus seven consonants. Segmentation suggests 4 words: cons, or, zio, bim. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.consorziobim.com/

Page Load Overview

1.10s
Total Load Time
14
HTTP Requests
1
Domains
2.6 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:5,457 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
87%
social media network
74%
travel tourism
53%
adult content
50%
real estate property
48%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14185.78.65.189Italy
AS200858Rackone Srl
141--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135A37350F8656D676376A2D56F30B0B03B2F90B9D9084282F0ECDAD83BC3D74E663566

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nfRmDG7WAdvLjoDeZlN1sntQ1iISA8+rfahc3M9+:npmDOdvLjoDeZ6nEiIp8+rCu3E+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100324:xAqjFgBBXECEBxUSNAQIAQhjSEDDH2qBITBAzkToKQQFxCR4cEYOFg00RBLHGyAaAUNcmsGJAswXRg0CiqzAhA8qJGQJGAIQ

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:ffff7f000000feff
Perceptual Hash:c18c9e726a55b599
Difference Hash:7278f6cac9cc1083
Wavelet Hash:ffff1e000000e8ff
Color Hash:#6c2dd2

Scan History

Scan history not available

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