Security Scan Report: www.rinnovabili.net

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Submitted: May 24, 2026, 2:04:52 PMCompleted: May 24, 2026, 2:06:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is rinnovabili.net and was registered NaN years ago.

Submitted URL: https://www.rinnovabili.net/policy-and-affairs/environmental-policies/trump-appoints-lee-zeldin-to-head-the-epa-what-will-happen-to-u-s-environmental-policy/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

www.rinnovabili.net

Scan Type

public

Language

🇩🇰

Danish

(72% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.rinnovabili.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The second-level label 'rinnovabili' is 11 characters long holding 5 vowels versus 6 consonants. Splitting it apart reveals five words: r, in, nova, bil, i. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.rinnovabili.net/policy-and-affairs/environmental-policies/trump-appoints-lee-zeldin-to-head-the-epa-what-will-happen-to-u-s-environmental-policy/

Page Load Overview

3.00s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:72%
Script Type:Latin
Text Length:37 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.156.144.79Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPV2bMy8OldK:FhoC9JSqzzbs6okSjggcpsN2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185497:BeSBJRiCpYgAkCxCC6RoAIKQNSJSEtWrtiAChlCJQBgsa3qVIJoSBeMQwMzCgCAKjjERJEaAIBvQCi0wDFoQFSE5GhZIUCAE

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:ffc7c3f3ffffffff
Perceptual Hash:e4309b9bcc6c3333
Difference Hash:00140c0600000000
Wavelet Hash:3f1f033300000000
Color Hash:#87a6c5

Other Hashes

Crop Resistant:00140c0600000000

Scan History

Scan history not available

Unable to load historical scan data