Security Scan Report: anci.lombardia.it

Submitted: Dec 15, 2025, 3:58:48 PMCompleted: Dec 15, 2025, 3:59:17 PMpubliccompleted
Loading additional data...

Summary

This website contacted 66 IPs in 3 countries across 14 domains to perform 375 HTTP transactions. The main domain is anci.lombardia.it and was registered NaN years ago.

Submitted URL: https://anci.lombardia.it/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate but contains login forms; proceed cautiously.

Risk Factors
Password fields present on a public site could be used for credential collection
Safety Factors
Long domain age and established organization
No malicious Indicators of Compromise
No payment fields or suspicious external links
Domain age information unavailable

Details

Page Title

Benvenuti in ANCI Lombardia

Scan Type

public

Language

🇮🇹

Italian

(44% confidence)

Category

government public service

(79%)

Domain Information

Domain 'anci.lombardia.it' uses the Italian country-code top-level domain (.lombardia.it) without a subdomain. Its registrable label 'anci' stretches across 4 characters holding 2 vowels versus 2 consonants. It segments into 2 words: a, nci. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://anci.lombardia.it/

Page Load Overview

5.92s
Total Load Time
375
HTTP Requests
14
Domains
6.2 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:44%
Script Type:Latin
Text Length:11,160 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service79% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
79%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5052.222.236.16United States
AS16509AMAZON-02
53.167.227.46United States
AS16509AMAZON-02
5142.250.185.100United States
AS15169GOOGLE
53.167.227.63United States
AS16509AMAZON-02
5142.250.184.234United States
AS15169GOOGLE
523.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
552.222.236.23United States
AS16509AMAZON-02
5142.250.186.174United States
AS15169GOOGLE
5142.251.141.72United States
AS15169GOOGLE
53.167.227.71United States
AS16509AMAZON-02
37566--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7E3D822A7CD2C37065585A5B6B1ABC8E513992BD9836A04B2FD3E446FCDDD0CC221DF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Q9fV3gzIqqsXGCbzwngfnptMWcxj3a4AzBf5ZfJUGUqFSN:8t3gzIqqsXGCbzwngfnptMWcxj3a4A9u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:153014:AbgnVEEBPSAI5MpgCUEKhgaxpMiEDJYCiSgQCIEqQhpjAaBD2OACqE5EQyEID2IYVkIAIAZghEFgQKgDSHiIIGgVQRKCNAgt

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:9900818f8fcfffdf
Perceptual Hash:b838cfc9b9a8386c
Difference Hash:3b2c373e3b3e272f
Wavelet Hash:91008187878fffd7
Color Hash:#392d86

Scan History

Scan history not available

Unable to load historical scan data