Security Scan Report: greenergy.focul.net

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Submitted: Jul 16, 2026, 9:11:00 AMCompleted: Jul 16, 2026, 9:12:22 AMpubliccompleted
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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 greenergy.focul.net and was registered NaN years ago.

Submitted URL: https://greenergy.focul.net

The Cisco Umbrella rank of the primary domain is #604,462 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

No malicious indicators detected; site appears legitimate and low risk.

Safety Factors
Domain age 24+ years
No credential or payment forms
No Indicators of Compromise or malware matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

FoCul Home Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(42%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'greenergy.focul.net' is registered, featuring subdomain 'greenergy'. Count 5 characters in 'focul' containing two vowels alongside 3 consonants. It segments into 2 words: foc, ul. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://greenergy.focul.net

Page Load Overview

1.80s
Total Load Time
19
HTTP Requests
1
Domains
780 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:318 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
42%
technology software
41%
documentation technical
35%
forum community discussion
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1920.108.15.22Azure · CLOUDLondon, England, United Kingdom
AS8075Microsoft Corporation
191--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12712837A9425A422C3C3D8C1E7563A1C957B23F4C6072E82F7DEE09D9691E4FF00998E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:7mDXfpVf9N9NgjskeUggfrQf9N9NgjskeUgA58Q+2:7gXfpHXXIrkXXtQn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9333:9IoCgZkBFPJE58iUERACYpUGBMAyEIgGE8oCBAS1UCp0AKPj6pAgYAkAFTMEAIyMSWWE0EVkLOIUBQMAQYbggMWTKQMgAISo

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:ff007e7f000000ff
Perceptual Hash:9185ee7f9195c5c0
Difference Hash:59e4e0d8d86f7d6d
Wavelet Hash:ff027f7f040000ff
Color Hash:#40bfb0

Scan History

Scan history not available

Unable to load historical scan data