Security Scan Report: www.apspcles.it

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Submitted: Jan 1, 2026, 11:17:10 PMCompleted: Jan 1, 2026, 11:18:27 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 3 domains to perform 93 HTTP transactions. The main domain is apspcles.it and was registered NaN years ago.

Submitted URL: https://www.apspcles.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate public institution site with no security concerns.

Safety Factors
Long‑standing domain age
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Official institutional branding matches domain
Domain age information unavailable

Details

Page Title

A.P.S.P. Santa Maria Cles

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.apspcles.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. The registrable portion 'apspcles' spans 8 characters with 2 vowels and six consonants. Segmentation suggests 3 words: a, psp, cles. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.apspcles.it/

Page Load Overview

5.37s
Total Load Time
93
HTTP Requests
3
Domains
3.5 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:8,747 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2135.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
183.5.66.81Ireland
183.5.71.151Ireland
1835.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
1863.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
935--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BED3083199842137476396ECF17A7308F6A2912CDAD39554D3FC93881BCBF94E912B8E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FkTF2dRR0S9s9BmQm/XXXXXXXXXXXXAghRR+xeXX3gJDgRECuoTt+XZqoTv:FkZ2XaS9s9xxeuL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134593:ClQFhgCJCAAFKLFAIQESAqKwSlCgMYAIggFhkwDOgQwJJQAaEUUGkRCEABNjJmQoIHSzIh3Gs1zoQggBEhGABlFogcAOBEUg

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:ff00ff83c3c381c3
Perceptual Hash:ed9292cfa0b9c4c6
Difference Hash:33d1333b23232b16
Wavelet Hash:ff00ff81c3c381c3
Color Hash:#53abac

Scan History

Scan history not available

Unable to load historical scan data