Security Scan Report: www.comune.sangregoriodicatania.ct.it

Redirected to:
https://www.comune.sangregoriodicatania.ct.it/it
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Submitted: Jun 14, 2026, 10:38:27 PMCompleted: Jun 14, 2026, 10:39:41 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is comune.sangregoriodicatania.ct.it.

Submitted URL: https://www.comune.sangregoriodicatania.ct.it

Effective URL: https://www.comune.sangregoriodicatania.ct.it/itRedirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk municipal site; no malicious activity detected.

Risk Factors
Critical JS obfuscation score (high entropy, concatenation) – alone not decisive
Multiple INFO‑level IDS alerts about unsafe Referrer‑Policy
Safety Factors
Domain matches the claimed municipal brand (self‑branding)
Absence of credential or payment collection forms
No external malicious resources or cross‑origin credential exfiltration
Official‑looking URL structure and content
Domain age information unavailable

Details

Page Title

Comune di San Gregorio di Catania

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(77%)

Domain Information

You're looking at domain 'www.comune.sangregoriodicatania.ct.it' on the Italian country-code top-level domain (.ct.it) with subdomain 'www.comune'. The registrable portion 'sangregoriodicatania' spans 20 characters containing ten vowels alongside 10 consonants. Segmentation suggests 4 words: san, gregorio, di, catania. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.sangregoriodicatania.ct.it

Page Load Overview

5.98s
Total Load Time
69
HTTP Requests
4
Domains
5.3 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:6,635 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
77%
government public service
45%
government
40%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1834.149.107.255Kansas City, Missouri, United States
AS396982Google LLC
17188.166.63.236Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1734.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
1734.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
694--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF24E8214DF8D02E601380ECBAB49B0EDAE5E557C45A5C6C76ED2B6C8F97DC28D1390E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Fo8npHpU45gGFhB8zW0vdAivU8N7Vq8b807G:Fo8nkb807G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:210973:YqoKIlDADwIuOj0HgZrhL4GWwBOQAIILISJMRWABEiBQiAfoIAIwlBoINBKMNQXAiArM4CgKCoQdFESggB8EXGRiDhI1QnwI

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:0000fff3ffdf0000
Perceptual Hash:ec4513384665bccf
Difference Hash:c4c52727233b13f1
Wavelet Hash:0040ffffffdf0000
Color Hash:#b287c5

Scan History

Scan history not available

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