Security Scan Report: www.peritiindustrialisiena.it

Submitted: Jan 10, 2026, 4:11:28 PMCompleted: Jan 10, 2026, 4:12:59 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 54 HTTP transactions. The main domain is peritiindustrialisiena.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no detectable security threats.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Ordine dei Periti Industriali della Provincia di Siena |

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(82%)

Domain Information

The domain 'www.peritiindustrialisiena.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Count 22 characters in 'peritiindustrialisiena' containing eleven vowels alongside 11 consonants. Word splitting yields six words: per, it, i, industrial, i, siena. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.12s
Total Load Time
57
HTTP Requests
6
Domains
668 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-IT
Text Length:7,513 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
82%
corporate business
40%
documentation technical
39%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1935.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1989.46.108.62Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
19185.172.148.132Germany
AS44239proinity GmbH
573--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1742372F2095CB43E869AA7C9E122F319BBF790B2CF06199173F521DCD687F9105B211A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Ov0aWFZdapei8nltlrWuSChsWaDF0B8H9guC5D:U0rap8l/sCeWaDF0B8H9guC5D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47784:ldxliQU20CAAQFXMJCEBE2QWYDIEJxgpQBIMADgJQvQCUIAIUjE0XpRgHzG4MEKyZAqAgAQJRCspyRIK9aCBoKGCOEnKIyTI

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:ffd3d3f3ffc3c3ff
Perceptual Hash:e44c9b9b9364cc66
Difference Hash:38a6a68648969660
Wavelet Hash:c2d2d2c2e6c3c3d3
Color Hash:#79add2

Scan History

Scan history not available

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