Security Scan Report: www.enel.it

Redirected to: https://www.enel.it/it-it/blog/guide/come-pagare-bolletta

Submitted: Jan 7, 2026, 4:21:39 AMCompleted: Jan 7, 2026, 4:24:20 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 12 domains to perform 164 HTTP transactions. The main domain is enel.it and was registered NaN years ago.

Submitted URL: http://www.enel.it/it/supporto/faq/come-pagare-la-bolletta

Effective URL: https://www.enel.it/it-it/blog/guide/come-pagare-bollettaRedirected

The Cisco Umbrella rank of the primary domain is #432,471 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Enel page providing information on how to pay the bill.

Safety Factors
Official brand domain (enel.it)
Established domain age
Clean redirect chain ending on legitimate site
Domain age information unavailable

Details

Page Title

Pagare la bolletta online e altri metodi di pagamento | Enel Energia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

finance banking

(95%)

Domain Information

You're looking at domain 'www.enel.it' on the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The registrable portion 'enel' spans 4 characters split between two vowels and 2 consonants. Tokenizing the label suggests 2 words: en, el. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.enel.it/it/supporto/faq/come-pagare-la-bolletta

Page Load Overview

90.24s
Total Load Time
89
HTTP Requests
3
Domains
649 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:13,077 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking95% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
95%
blog personal website
86%
government public service
85%
news media journalism
70%
documentation technical
65%

Detected Features

Products
OG: article-page
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1963.140.62.210Germany
5216.58.206.72Germany
518.66.122.97Germany
518.66.122.49GermanyUnknown
563.140.62.172GermanyUnknown
5104.16.175.226GermanyUnknown
5142.250.185.226GermanyUnknown
5150.171.28.10GermanyUnknown
5104.16.174.226GermanyUnknown
523.52.181.12Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
8915--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5D4E87381F82132406B87D0B4756B3AE9679D6BFE86098076EC8BD52FF9CC1A80754D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yUxNdsSw8ABtG5J8WOoWp/ihXR15xBao7AAqvZewvTnUtuf2f/6sttDl:yUxNd5jWp/ih/VwQtx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:615303:iAkgKQAKGoICdYEwyUBRAIh2oyCGlJqMmMEAKGHAkctcWBBCiS4wTLCiDiEJYwklNhQUQpoCCJgZRnIANDxEAVsKMZKAywIQ

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:ff8584848581ffff
Perceptual Hash:be32cd6d95c11b90
Difference Hash:734d4d4d4d4d536d
Wavelet Hash:ff0105050501ffff
Color Hash:#d2b379

Scan History

Scan history not available

Unable to load historical scan data