Security Scan Report: comune.porto-torres.ss.it

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Submitted: Oct 12, 2025, 10:36:58 PMCompleted: Oct 12, 2025, 10:38:05 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 3 domains to perform 138 HTTP transactions. The main domain is comune.porto-torres.ss.it.

Submitted URL: https://comune.porto-torres.ss.it/it/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no detected security concerns.

Safety Factors
Official government domain
Standard informational website with no suspicious forms
Domain age information unavailable

Details

Page Title

comune.porto-torres.ss.it

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

real estate property

(44%)

Domain Information

You're looking at domain 'comune.porto-torres.ss.it' on the Italian country-code top-level domain (.ss.it) with subdomain 'comune'. The registrable portion 'porto-torres' spans 12 characters containing 4 vowels alongside 7 consonants; bonus characters include 1 hyphen. Tokenizing the label suggests 2 words: porto, torres. Average segment length settles at 5.5 characters. 'porto' is most common in Catalan usage. It also appears in Italian and Galician contexts.

Screenshot

Security scan screenshot of https://comune.porto-torres.ss.it/it/

Page Load Overview

37.26s
Total Load Time
138
HTTP Requests
3
Domains
1.5 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
Text Length:8,248 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
44%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3689.168.21.183Siziano, Lombardy, Italy
AS31898ORACLE-BMC-31898
343.124.107.183Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3435.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
3435.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1384--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184F3753247CC1C3E439319DD72A49B49A5FF7D7CE51A40A8F67B02484BD7CA0A398B96

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pdMWfAHxJS3TlmQjknT1KsyUiIFO6+95XWDR19hBhSWMH:g4knT456+95XWVzQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:164573:BJiyAq7oOQiAhxMiIhAqrcrkgGAAQTGCg5FEIoEAiYhiQBwwEwAtUUK4RBAxHIyclAxDCWkl0AARYA1k0XKQYRsCVEoQVRiR

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:0000f1f1f1c1ffff
Perceptual Hash:ce319b3017cc32cf
Difference Hash:dcc3272767057161
Wavelet Hash:0000f191f1d1fdff
Color Hash:#2d8646

Other Hashes

Scan History

Scan history not available

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