Security Scan Report: www.conaf.it

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Submitted: Jun 11, 2026, 1:00:47 AMCompleted: Jun 11, 2026, 1:01:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is conaf.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate: long‑standing domain, no malicious indicators, and self‑branding matches the domain.

Safety Factors
Well‑established domain age
Self‑brand meta tags align with domain
Absence of forms that collect credentials or payments
No malicious network or IDS alerts
No JavaScript behavioral or malware indicators
Domain age information unavailable

Details

Page Title

Home Page - CONAF

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(70%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.conaf.it' is registered with subdomain 'www'. Its registrable label 'conaf' stretches across 5 characters holding two vowels versus three consonants. Segmentation suggests two words: co, naf. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.26s
Total Load Time
71
HTTP Requests
1
Domains
6.2 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:7,296 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
70%
education learning
45%
corporate
35%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
71178.32.142.143France
AS16276OVH SAS
711--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C993C8B244E8203A26ABA6986174F709FFA2A447CF461A5573FD13DCCF97E91446330E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FpypSd7SgGfwpndr6vQnUxDy/7JQvtiS4CvW/W:FksdlntSDylQvnW/W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91345:KQERLUlSIxBsgYwplgIQUkBBeB0BACQEkOQSQATVIwIFhbAkKCyJwEETAo0hwEFSWCxDEAlQQZojIkiY4gIFmCKRWywEYKyg

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4003c3c3c
Color Hash:#802d86

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data