Security Scan Report: www.spes.pd.it

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Submitted: Jan 17, 2026, 4:27:57 AMCompleted: Jan 17, 2026, 4:29:41 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 150 HTTP transactions. The main domain is spes.pd.it and was registered NaN years ago.

Submitted URL: https://www.spes.pd.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain registered since 2006
HTTPS connection
No external links or third‑party scripts
No login, password, or payment fields
No suspicious content in OCR or HTML
Domain age information unavailable

Details

Page Title

Home - Spes

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(82%)

Domain Information

Within the Italian country-code top-level domain (.pd.it), 'www.spes.pd.it' is registered; it also runs on subdomain 'www'. Its registrable label 'spes' stretches across 4 characters containing 1 vowel alongside three consonants. Breaking it apart gives two words: s, pes. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.spes.pd.it/

Page Load Overview

10.15s
Total Load Time
139
HTTP Requests
7
Domains
4.0 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-IT
Text Length:5,623 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning82% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
82%
government public service
77%
corporate
35%
healthcare medical
28%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.16.168.106Finland
19184.24.77.154Germany
19185.111.111.154United States
1979.127.204.113Unknown
19172.104.128.13Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
19142.250.184.202UnknownUnknown
19185.111.111.157UnknownUnknown
1397--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18804A562BE84303A115762C46834B73CE5DBD142C7421EF4B3FDE3A85BCAF96791A606

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4d3apo6+3ZtuOQhWaQ4ZTTDRAxB17iq5PhM6V/UZihcIvcVFN58R/13ai5DhQyNA:4dq0uOI5ZT2TYgGBFzzL+EI/Z4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185960:UIUIQWlQFyDtDAVichA5DIIBpjiPFaCCESuhhIwUELUvicFkzJAAgBkKHgIOQkqMsBLfGTBMsQAKGKNSgI5AkhEqxKQgFAxF

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:bf3c18181800ffe7
Perceptual Hash:88c9e77608ad3772
Difference Hash:717171b3b13d4d4f
Wavelet Hash:ff3c18181800ffe7
Color Hash:#7b79d2

Scan History

Scan history not available

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