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

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Submitted: Jan 9, 2026, 1:09:42 AMCompleted: Jan 9, 2026, 1:11:18 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 199 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: 92%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official municipal domain (.ss.it) typically used by local governments
Absence of credential or payment collection forms
No external links or suspicious resources detected
Domain age information unavailable

Details

Page Title

Homepage | Comune di Porto Torres

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'comune.porto-torres.ss.it' uses the Italian country-code top-level domain (.ss.it); it also runs on subdomain 'comune'. The second-level label 'porto-torres' is 12 characters long holding four vowels versus seven consonants; it also includes 1 hyphen. Splitting it apart reveals two words: porto, torres. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

23.17s
Total Load Time
157
HTTP Requests
3
Domains
2.6 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:9,274 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5389.168.21.183Siziano, Lombardy, Italy
AS31898ORACLE-BMC-31898
523.124.107.183Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5235.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
1573--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A014623147CC183E43930DDDA2A45A4DA5FF7D7CE51A8098F67B02480BE7DA0A79CB96

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FdXWfqWaOd8Ro7jknT1KsyUiIFO6+95XWDR19hBhSWM4:61knT456+95XWVzj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194172:DqQn5kJGaqspAIaIA0kAwkIDiBQQiJygAqIgqAAEAgMlBKfVFiiAbJgwAncJ/MOCTZChAALHCAwIR8yBKBR2WQgKEEeyAATV

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:0000d181f9c5bdbe
Perceptual Hash:ce310f641bcc33cd
Difference Hash:ccc4232963056161
Wavelet Hash:0000f191f1f5bdfe
Color Hash:#d27982

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data