Security Scan Report: ordinebolzano.conaf.it

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Submitted: Feb 21, 2026, 11:20:48 PMCompleted: Feb 21, 2026, 11:21:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ordinebolzano.conaf.it and was registered NaN years ago.

Submitted URL: https://ordinebolzano.conaf.it

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate and poses no security risk.

Safety Factors
Well‑established domain (over 20 years old)
No malicious Indicators of Compromise
No password, email, or payment fields in forms
No brand impersonation in meta tags or content
No network IDS alerts or YARA malware detections
Domain age information unavailable

Details

Page Title

ordinebolzano.conaf.it

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(98%)

Domain Information

Within the Italian country-code top-level domain (.it), 'ordinebolzano.conaf.it' is registered and includes subdomain 'ordinebolzano'. Count 5 characters in 'conaf' holding 2 vowels versus 3 consonants. Segmentation suggests 2 words: co, naf. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ordinebolzano.conaf.it

Page Load Overview

2.58s
Total Load Time
62
HTTP Requests
1
Domains
3.0 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-IT
Text Length:1,884 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
98%
finance banking
97%
news media journalism
84%
education learning
79%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62178.32.142.143France
AS16276OVH SAS
621--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Old6:YhoC9JSqzzbs6o3Sj3gcrso2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184501:ABtSkEQYcilJIASENlgcxqQbQGABmxAoFxQgiQiQPwBgpQgRHGHSERgaoiJitCBCCggAFGMINQEQhCSJQvRag0AIKE20OohJ

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#382dd2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data