Security Scan Report: www.fbnai.it

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Submitted: Jan 8, 2026, 9:23:32 PMCompleted: Jan 8, 2026, 9:24:43 PMpubliccompleted
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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 fbnai.it and was registered NaN years ago.

Submitted URL: https://www.fbnai.it/it-it/home

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate public foundation website with no security concerns.

Safety Factors
Long‑standing domain registration (over 11 years)
Public sector organization with clear branding
Absence of suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Fondazione Campania Welfare

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(99%)

Domain Information

The domain name 'www.fbnai.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Its registrable label 'fbnai' stretches across 5 characters with 2 vowels and 3 consonants. Segmentation suggests two words: fb, nai. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fbnai.it/it-it/home

Page Load Overview

1.76s
Total Load Time
26
HTTP Requests
1
Domains
1.2 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:4,941 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
99%
documentation technical
96%
adult content
61%
blog personal website
47%
education learning
42%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
261--

Detected Technologies4

JQueryv3.6.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C943D82174F0203B116386C4BA61BB276F93D187E94A1944B6BD0B984FEBC82BD1774F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:s+FOd+1MpS2m2gC3rd04U1ZoG1mULzkbF/QpkhzUfszHVO3QfGrBUgImpiadjj3X:9E53rd04G3DEF/XmHO5mFdjj3Mq+zY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57593:EC6YR9BHQ6FEgaQxIzAQkjYQCSxJEAAGmgWegEhCwKkHEgQizBEGCIBGAKIjIN04BDMGHxAJCkBUFYOgpwJAycJBQgIgACkv

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:ffff000c04ffff00
Perceptual Hash:9ad36ced1b990646
Difference Hash:1b1becd8582e23b1
Wavelet Hash:cfff040800ffff00
Color Hash:#7981d2

Scan History

Scan history not available

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