Security Scan Report: www.comune.santanatoliadinarco.pg.it

Submitted: Oct 22, 2025, 8:35:57 PMCompleted: Oct 22, 2025, 8:37:40 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 3 domains to perform 84 HTTP transactions. The main domain is comune.santanatoliadinarco.pg.it.

Submitted URL: https://www.comune.santanatoliadinarco.pg.it/hh/index.php

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Site looks legitimate but has an invalid SSL certificate; proceed carefully.

Risk Factors
Invalid SSL certificate could enable man‑in‑the‑middle attacks
Domain is unranked in Cisco Umbrella (lack of reputation data)
Safety Factors
No forms collecting passwords, payment data, or personal identifiers
Site appears to be an official municipal website with legitimate content
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Privacy error

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(97%)

Domain Information

You're looking at domain 'www.comune.santanatoliadinarco.pg.it' on the Italian country-code top-level domain (.pg.it) and includes subdomain 'www.comune'. The second-level label 'santanatoliadinarco' is 19 characters long split between nine vowels and 10 consonants. Tokenizing the label suggests four words: sant, anatolia, dinar, co. Median word length comes out to 4.5 characters. 'santa' is most common in Czech usage. Secondary signals appear in Polish and Vietnamese.

Screenshot

Security scan screenshot of https://www.comune.santanatoliadinarco.pg.it/hh/index.php

Page Load Overview

71.77s
Total Load Time
84
HTTP Requests
3
Domains
199 KB
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:4,522 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
97%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14195.78.210.236Italy
AS3302Retelit Digital Services S.p.A.
14195.231.24.148Lurano, Lombardy, Italy
AS31034Aruba S.p.A.
14157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
14157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
142a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
142a03:2880:f177:185:face:b00c:0:25deFrankfurt am Main, Hesse, Germany
AS32934FACEBOOK
846--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DB3F801F7EC292B421371A5E82FA6DCB23E9432E7034959F7BDD1E53F89D9A052192C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wEc/gGB7+7nheYRd9883si7guOeFOKRj8VKmrsKbEHIfg6xDcZz6bpts0uh0nnHb:rv7nZRZOeFOgJry

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115382:jocRkFBisqJGgBCFB7AQHQUFAApDYGOKYFODQDAIUJIg5AUJkQmr95QBGRAklYI6WFrgBhkhHggPoYIhwAhBSQilCAtAIXoC

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:0000ffffffffffff
Perceptual Hash:d56a552a552a55ba
Difference Hash:c5c4004000000000
Wavelet Hash:0000fcfc0e0e0e0e
Color Hash:#6ce096

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data