Security Scan Report: www.enel.it

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

Submitted: Jan 10, 2026, 9:52:21 PMCompleted: Jan 10, 2026, 9:54:18 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 42 HTTP transactions. The main domain is enel.it and was registered NaN years ago.

Submitted URL: https://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

The page is a legitimate Enel site with no security concerns.

Safety Factors
Official brand domain
Long‑standing domain registration
Absence of suspicious forms or scripts
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

(97%)

Domain Information

You're looking at domain 'www.enel.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. Count 4 characters in 'enel' with two vowels and two consonants. Word splitting yields two words: en, el. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

18.38s
Total Load Time
142
HTTP Requests
8
Domains
2.3 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-IT
Text Length:24,431 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking97% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
97%
blog personal website
83%
government public service
76%
news media journalism
68%
documentation technical
58%

Detected Features

Products
OG: article-page

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16150.171.27.10Germany
14142.250.186.163Germany
14104.16.174.226United States
AS13335CLOUDFLARENET
1423.52.181.12Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1463.140.62.172Germany
14142.250.186.132United States
AS15169GOOGLE
14149.126.77.63Frankfurt am Main, Hesse, Germany
AS19551INCAPSULA
1418.66.122.116GermanyUnknown
1463.140.62.210GermanyUnknown
14142.250.186.136United States
AS15169GOOGLE
14210--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178D4E87381F82132406B87D0B4756B3AE9679D6BFE86098076EC8BD52FF9CC1A80754D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vi3NdXhX8ABtG5J8WOoWp/ihXR15xBao7AAqvZewvTnUtuV2f/6sttDx:vi3NdGjWp/ih/VwQtN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:613765:hA4Byo9DiQYgBAQISALRTCEEwRRpCHAEuLQ7AtMm5xYpBtIIKBIXtgAoh0FsADCnkIABDppJQwkJgoAFJ4odYAgJEBICAvtg

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:334d4d4d4d4d536d
Wavelet Hash:ff0105050501ffff
Color Hash:#931f33

Scan History

Scan history not available

Unable to load historical scan data