Security Scan Report: phantompro.netlify.app

Redirected to:
https://phantompro.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 3 domains to perform 32 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://phantompro.netlify.app/

Effective URL:
https://phantompro.netlify.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 68%

6
Risk Score

No phishing infrastructure or threat-intel hits, but this free-hosted site sells a tool for producing counterfeit Phantom-style wallet balances and fake transactions, paid in crypto without KYC — a deception aid, not a legitimate app.

Risk Factors (5)
Product is purpose-built to fabricate convincing fake crypto wallet balances and transaction histories for social media / 'proof of funds' use
Leverages the Phantom wallet brand and interface design without disclosed affiliation
Free hosting-platform subdomain with unknown creation date and no established reputation
Crypto/SellAuth payment flow with explicitly no KYC and no account, on a site with no verifiable business identity
Self-declared authenticity claim ('the original website — beware of imitations') that positions the site against unnamed competitors rather than identifying its operator
Safety Factors (4)
No credential or payment forms on the page (verified: 0 forms, 0 password fields, 0 payment fields)
States it does not request seed phrases, private keys, or personal information
Explicitly disclaims real crypto and real transactions in title, meta and body copy
No threat-intelligence matches, no JavaScript malware patterns, no network IDS alerts
Domain age information unavailable

Details

Page Title

Phantom Pro — Realistic Wallet Simulator for Crypto Creators (iOS & Android)

Scan Type

public

Domain Name Analysis

You're looking at domain 'phantompro.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'phantompro'. The core label 'netlify' covers 7 characters holding 2 vowels versus five consonants. Segmentation suggests three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Features Pricing Earn FAQ Support @&® Phantom Pro © Phantom Pro Is the original website — beware of imitations Phantom Pro. For content creators. The realistic Phantom Pro for content creators. Se...

Page Load Overview

0.95s
Total Load Time
8.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,646 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking51% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
51%
entertainment media
47%
cryptocurrency blockchain
44%
technology software
43%
social media network
43%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
835.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
8142.251.14.95Google · CDNUnited States
AS15169Google LLC
8142.251.13.94Google · CDNUnited States
AS15169Google LLC
863.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
324--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11073C57693F302622527A0962BF7638E3375E103C506DE587EDD12998FCA9DE54A3B0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mnH+yKE7XHhvAzXnNDzgjnhUvV8hS7JRLWKDk8Wu6HkvYW32M:mntHNAzXNnVamJRWD1I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80647:irHhGDliUKnIDMEQwjBQSCgXBahKQDfeSAALgJAABAocIQAaBkEAByUDMCEImHBwIGhoBJmJkRBjkztyhSASgRmIIYZxoBBw

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:20183c393109191d
Perceptual Hash:8adc3067663399ce
Difference Hash:cdb1f16969317171
Wavelet Hash:3d3d3d193919191d
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data