Security Scan Report: www.agronomiforestalisiracusa.it

Submitted: Jan 3, 2026, 5:57:09 AMCompleted: Jan 3, 2026, 5:59:24 AMpubliccompleted
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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 agronomiforestalisiracusa.it and was registered NaN years ago.

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Ordine dei dott. Agronomi e Forestali - Agromomi a Siracusa

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(42%)

Domain Information

You're looking at domain 'www.agronomiforestalisiracusa.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'agronomiforestalisiracusa' spans 25 characters with 12 vowels and 13 consonants. Splitting it apart reveals five words: agron, omi, forest, ali, siracusa. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

36.74s
Total Load Time
3
HTTP Requests
1
Domains
87 KB
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:71 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
42%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
362.149.166.75Ponte San Pietro, Lombardy, Italy
AS31034Aruba S.p.A.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE11CEC685E74186B023E5649FF5F31006B58097975ACEA47ECE6298CF08698DEE378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h/C7JNLT+6AYIPNLrXqD00FSYFFE8bNyJfMf8t8:SJNLK6cXqPFG8yJe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1015:AAEAAIAAAAACAAAACAAAACAAAAAAAAAAIAIAAAAAAEAIAAAAEAAAACgAEIAAAAAQAgAAQAGCQAACAAAAQQAAAAAAABQAAAFA

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:e3c3e7e7ffffffff
Perceptual Hash:e666648999939b99
Difference Hash:0c04080800080000
Wavelet Hash:030327270f0f0f0f
Color Hash:#68783a

Other Hashes

Crop Resistant:0c04080800080000

Scan History

Scan history not available

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