Security Scan Report: ordinebergamo.conaf.it

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Submitted: Jan 9, 2026, 5:51:56 PMCompleted: Jan 9, 2026, 5:53:14 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 69 HTTP transactions. The main domain is ordinebergamo.conaf.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate, long‑standing organization.

Safety Factors
Well‑established domain with long registration history
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Standard hosting environment
Domain age information unavailable

Details

Page Title

Ordine Bergamo

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(65%)

Domain Information

You're looking at domain 'ordinebergamo.conaf.it' on the Italian country-code top-level domain (.it); it also runs on subdomain 'ordinebergamo'. Its registrable label 'conaf' stretches across 5 characters holding two vowels versus 3 consonants. Word splitting yields 2 words: co, naf. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.71s
Total Load Time
63
HTTP Requests
1
Domains
3.2 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-IT
Text Length:1,971 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
65%
government public service
49%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63178.32.142.143France
AS16276OVH SAS
631--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18943C77144F8603A17AAA29892A5F605EBB5E507CF851E6473FC139CCFD6EA2487330D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vf01ZdapRykaSgnSdVebsQad0S4C0jF5O8NrssXq:vaapYkaSgnyIbsOS4C0jF5OwrssXq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56105:oAEAA+KsAhCsMbdC0CpRAaICWBqxUBgAHFsCBpBARZhEwgk7CMgFA6JDAQlREgAAsAA8gVAV0EQCBgbE2RUgkuN0hwA1ogJs

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:ffc1000000ffffff
Perceptual Hash:fe509796446a956a
Difference Hash:0033333323402b6b
Wavelet Hash:ff00000000ffffff
Color Hash:#d2592d

Other Hashes

Scan History

Scan history not available

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