Security Scan Report: www.aticatania.it

Redirected to:
https://www.aticatania.it/
Submitted: Jun 15, 2026, 3:45:33 PMCompleted: Jun 15, 2026, 3:46:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is aticatania.it and was registered NaN years ago.

Submitted URL: http://www.aticatania.it

Effective URL: https://www.aticatania.it/Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate government public‑service site; no malicious signals detected.

Safety Factors
Well‑established domain with long registration history
Self‑branding aligns with domain name
Absence of forms that collect credentials
No network IDS alerts or malware indicators
Domain age information unavailable

Details

Page Title

Assemblea Territoriale Idrica Catania

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(27%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.aticatania.it' is registered and includes subdomain 'www'. The registrable portion 'aticatania' spans 10 characters split between 6 vowels and four consonants. Breaking it apart gives 3 words: at, i, catania. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.aticatania.it

Page Load Overview

2.26s
Total Load Time
38
HTTP Requests
1
Domains
2.5 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:2,350 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service27% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3895.110.186.140Italy
AS31034Aruba S.p.A.
381--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F773B6152FBA201B915312BC336A674D75B9542FE486882CBAFD63240FFBD854F86B0D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RIBWLVBoAdPt5CjPsNAlQz4L+xmJij4jW:RIBWLVBoAdPt5CjPsNAlQz4L+34W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79965:QGlQABIAKoBrsEgYgFSgHJtAYwHhQYBBjnAAACsoQvheUIBsQleIXDggAAEQBCmjUAEC9JiLCoHCgAAgYBQoxMSRsAAtADk0

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:ff00203cbf81ffff
Perceptual Hash:9f47b1b892d26c85
Difference Hash:39d0c56970333f0d
Wavelet Hash:ff0020203c81ffff
Color Hash:#1f9325

Scan History

Scan history not available

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