Security Scan Report: prospebraico.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 6 domains to perform 21 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://prospebraico.netlify.app/

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Instant Netlify-hosted Italian get-rich infoproduct funnel flagged by a single unverified phishing report; no forms or malware found, but deceptive wealth claims and unknown provenance make it a bad risk.

Risk Factors (6)
Single-source, unverified phishing report against the primary domain
Shared hosting-platform subdomain whose true creation date cannot be verified
Get-rich-quick / secret-formula marketing with urgency and discount pressure
Marketing built on ethnic stereotyping and unverifiable wealth claims
Unverifiable expert persona and testimonials; no corporate or legal disclosure
Video player error message ('Video not found, contact the support of') suggests a hastily deployed funnel
Domain age information unavailable

Details

Page Title

Il Segreto della Ricchezza Ebraica | Il Sistema Finanziario Più Antico del Mondo

Scan Type

public

Domain Name Analysis

The domain name 'prospebraico.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'prospebraico'. Count 7 characters in 'netlify' containing 2 vowels alongside five consonants. Segmentation suggests three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

+ IL SEGRETO DELLA RICCHEZZA EBRAICA + @ IL SISTEMA FINANZIARIO PIÙ ANTICO DEL MONDO Questi 5 principi ebraici hanno portato la mia famiglia dalla povertà estrema all'élite di New York. Tramandato...

Page Load Overview

2.26s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:9,913 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking43% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2172.67.68.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
218.64.211.90Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.26.11.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.64.211.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
219--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14043C77295B32063792391E97BE7575B33A4E103C64BC6243AEC62589FCACD4DC53A8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1P7bsva3ndyW/N5G+JcEvLRzrzjWCadLeVDpFspxHDb7FIz:lUS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58271:BCAlMo4CAaAAkmEccBUwYSoikQcBTmKggKrDMiADFKBXAPEAAqQkFgQIaMqpHDEQRJXMkioezAhCYGQfFANQASXCu+AIwMJU

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:103c3c1818180000
Perceptual Hash:9993338c6466cd9b
Difference Hash:f0e8f0f0b2b23000
Wavelet Hash:7e7e7e7e3c3c0000
Color Hash:N/A

Other Hashes

Crop Resistant:f0e8f0f0b2b23000

Scan History

Scan history not available

Unable to load historical scan data