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

Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 3 countries across 5 domains to perform 32 HTTP transactions. The main domain is apollosa.bn.it.

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Legitimate municipal website with no security concerns detected.

Safety Factors (3)
Standard informational website with no credential collection
No external links or third‑party redirects
No hidden or disguised password/payment fields
Domain age information unavailable

Details

Page Title

Comune di Apollosa

Scan Type

public

Domain Name Analysis

Within the Italian country-code top-level domain (.bn.it), 'www.comune.apollosa.bn.it' is registered, featuring subdomain 'www.comune'. The second-level label 'apollosa' is 8 characters long containing four vowels alongside 4 consonants. Word splitting yields two words: apollos, a. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.55s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:6,444 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
35%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
863.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
6104.26.7.229United States
AS13335CLOUDFLARENET
635.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
6185.111.111.154United StatesUnknown
699.81.25.153Dublin, Leinster, Ireland
AS16509AMAZON-02
325--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBA3D8319665613B03B352ECF16FE715F3D2614DD8D54661EBFDCB880BEAE90EA01A08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VYU4pEHvDDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAJ:cXZK70iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101722:HSLDBCQmlkCrIxoAUANjEkBgKFgQQgJQngUCHpAZGMhCogQAq4JgiIAaoRQFBXQHUIw+QCrMgftmhikARQyBBgMsACAG0iGA

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:dcc7232343831f96
Wavelet Hash:0061f1f1f1f1c3c7
Color Hash:#862d31

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data