Security Scan Report: www.comune.stornara.fg.it

Redirected to:
https://www.comune.stornara.fg.it/it
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Submitted: Jun 17, 2026, 1:30:00 PMCompleted: Jun 17, 2026, 1:31:15 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is comune.stornara.fg.it.

Submitted URL: https://www.comune.stornara.fg.it

Effective URL: https://www.comune.stornara.fg.it/itRedirected

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site appears to be a legitimate municipal portal; no phishing or malware indicators, though the JavaScript is heavily obfuscated.

Risk Factors
High JavaScript obfuscation score (static analysis shows heavy charcode manipulation and base64 encoding)
Informational Suricata alert about unsafe Referrer‑Policy
Safety Factors
Official government domain (comune.stornara.fg.it) with self‑branding
Absence of credential or payment collection forms
No threat‑intel or IoC matches
No malicious YARA signatures or known phishing kits
Domain age information unavailable

Details

Page Title

Comune di Stornara

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(59%)

Domain Information

The domain 'www.comune.stornara.fg.it' uses the Italian country-code top-level domain (.fg.it) and includes subdomain 'www.comune'. The second-level label 'stornara' is 8 characters long containing 3 vowels alongside 5 consonants. Splitting it apart reveals two words: stor, nara. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.stornara.fg.it

Page Load Overview

5.96s
Total Load Time
62
HTTP Requests
4
Domains
2.3 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:8,240 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
59%
government
40%
adult content
27%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.149.107.255Kansas City, Missouri, United States
AS396982Google LLC
1534.120.160.141Kansas City, Missouri, United States
AS396982Google LLC
15104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
1534.120.66.199Kansas City, Missouri, United States
AS396982Google LLC
624--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F514E7315DF4903E501380ECB6B49B0ADAEAE507C4496D6CB9ED6B6C8F97DC28D1360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HjwkvoxFGqhtT+ftfape8xYd+QySXysq83a:Hjwkvga3a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:205377:QIPkICJRnC6ZgkoQFsKwkQERggYhmdAlZ4QCGB2gxQJAAGRAOjEkUxAlCIHwAhZGBMBOVmAEFSJOiUEEIvh0WQSUIGwEBCsS

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:0000ffffffff0000
Perceptual Hash:ece512926c6cb99a
Difference Hash:d4cc3227272b3371
Wavelet Hash:0000ffffffff0000
Color Hash:#d2799a

Scan History

Scan history not available

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