Security Scan Report: www.comune.apollosa.bn.it

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Submitted: Jun 3, 2026, 8:18:55 AMCompleted: Jun 3, 2026, 8:20:06 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is comune.apollosa.bn.it.

Submitted URL: https://www.comune.apollosa.bn.it

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site appears to be a legitimate municipal website with no phishing, malware, or scam indicators.

Safety Factors
Official government domain (comune.apollosa.bn.it)
Content classified as government public service
No forms or data collection elements
No malicious scripts or external exploit indicators
Domain age information unavailable

Details

Page Title

Comune di Apollosa

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(72%)

Domain Information

The domain 'www.comune.apollosa.bn.it' uses the Italian country-code top-level domain (.bn.it); it also runs on subdomain 'www.comune'. The core label 'apollosa' covers 8 characters containing 4 vowels alongside four consonants. It segments into 2 words: apollos, a. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.apollosa.bn.it

Page Load Overview

1.97s
Total Load Time
33
HTTP Requests
5
Domains
1.3 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:7,131 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
72%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.26.7.229United States
AS13335Cloudflare, Inc.
1199.81.25.153Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
11185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
333--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1F3B721B3D2106B21B30AAFB01A7B34B6193C8DE1874DD6DFBA7B64CB8CED19535548

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hYU4pEHvdDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAQ:8sJ8wX20KO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:160220:BASwIOAFXhG4vIBAIvNCLByEBEBBBRBgkJDVECiAFSDOwhhGxKL0Ask4FAD2nYh4AnkIAgCiRgwCYAiBC75iYBEQAETEhVoo

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:0000f1f1f1f1c3c3
Perceptual Hash:ec0711139479ecee
Difference Hash:dcc7232363831f96
Wavelet Hash:0061f1f1f1f1c3c7
Color Hash:#e06c96

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data