ScanMalware.com

Security Scan Report: www.comune.vigolana.tn.it

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7c6fe368-84b2-42df-9d95-df72c9646c79Domain and IP registration (RDAP)/api/v1/rdap/7c6fe368-84b2-42df-9d95-df72c9646c79How often this domain was scanned/api/v1/domain/stats/comune.vigolana.tn.itScan history for this domain/api/v1/domain/history/comune.vigolana.tn.it?limit=15
This website contacted 6 IPs in 4 countries across 6 domains to perform 35 HTTP transactions. The main domain is vigolana.tn.it.

Submitted URL: https://www.comune.vigolana.tn.it/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors (4)
No malicious Indicators of Compromise matches
No credential or payment collection forms
Domain name aligns with official municipal entity
Content appears to be legitimate municipal information
Domain age information unavailable

Details

Page Title

Comune di Altopiano della Vigolana

Scan Type

public

Domain Name Analysis

Within the Italian country-code top-level domain (.tn.it), 'www.comune.vigolana.tn.it' is registered; it also runs on subdomain 'www.comune'. Its registrable label 'vigolana' stretches across 8 characters containing 4 vowels alongside 4 consonants. Tokenizing the label suggests 2 words: vigo, lana. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.vigolana.tn.it/

Page Load Overview

1.79s
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:7,457 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
84%
technology software
31%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1099.81.25.153Dublin, Leinster, Ireland
AS16509AMAZON-02
563.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
535.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
5185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
5172.67.71.156United States
AS13335CLOUDFLARENET
5104.26.7.229United States
AS13335CLOUDFLARENET
356--

Detected Technologies4

X-UA-Compatible
100%
Open-Graph-Protocolvarticle
100%
Varnish
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3B3FA3192A5517B03A352EDF16BE719F3D2A10DE8D50561EBFD87880BDBDE0EA01A1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VdU4pEHWqDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAk:F0mdP0iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107828:MwVOABQAgwEGADIIAEACEGiDEDIQhBoAIBOcNBqQALCOAIToaxAhsgAH0OwKGHmOE0kBBhSZ1l4KnASIAARhDYhklACABA7S

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:0000ffc1f1f1c1c3
Perceptual Hash:e816394e54b9ec87
Difference Hash:84c6071fe7031b03
Wavelet Hash:0000ffdbf1f1c1e3
Color Hash:#87bac5

Other Hashes

Crop Resistant:84c6071fe7031b03,99c98899d0e06060,fc1b050404040525,b4e49bc68619cccc,071722e7031b1b03

Scan History

Scan history not available

Unable to load historical scan data