Security Scan Report: atolecco.it

Submitted: Jan 14, 2026, 5:57:39 PMCompleted: Jan 14, 2026, 5:59:30 PMpubliccompleted
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Summary

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

Submitted URL: https://atolecco.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no phishing or malware indicators.

Safety Factors
Well‑established domain (>5 years old)
No malicious Indicators of Compromise
No sensitive data collection forms
Public sector content rather than brand impersonation
Standard website features only
Domain age information unavailable

Details

Page Title

Ufficio d'ambito di Lecco

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(48%)

Domain Information

Within the Italian country-code top-level domain (.it), 'atolecco.it' is registered while skipping any subdomain. Its registrable label 'atolecco' stretches across 8 characters with four vowels and 4 consonants. Segmentation suggests three words: a, to, lecco. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://atolecco.it/

Page Load Overview

8.18s
Total Load Time
66
HTTP Requests
1
Domains
161 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-IT
Text Length:7,113 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
48%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6649.13.8.84Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
661--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF74F6AFDB7634B53117A382B9E49B28D1AD0117DB8128C5BDF4F6245F832BB02B911D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:QCBDSiBJXSQ3fucSH54skc2XVeIUjnEgIPXD7h4ku9Nr2/4YJ/6hwogIy7Rm+RI1:bDSiBJXSQ3fucSH54skc2XVeIUjnEgI2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:341766:RBYyAkRmREBqBHFBICFwIJDDWAKyIMwIHiKGQARJGGHwKVYOCUHQJEhfDQOCADw4WEHU0Q7jMIBEZAwIzMCA1IMCgEQS8AAg

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:ffffff40000000ff
Perceptual Hash:d0ba8f4afa01bb15
Difference Hash:396ddd9991d1e8ea
Wavelet Hash:fffdff40000000ff
Color Hash:#58783a

Scan History

Scan history not available

Unable to load historical scan data