Security Scan Report: phantom-cash.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 53 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://phantom-cash.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake 'Phantom Cash' on a vercel.app subdomain impersonating Phantom, soliciting crypto 'to double your tokens' with multi-chain wallet addresses — a crypto advance-fee scam / drainer lure.

Risk Factors (5)
Brand impersonation of Phantom on an unrelated hosting subdomain
Send-crypto-to-receive-double advance-fee scam with multiple deposit addresses
Connect Wallet lure consistent with a crypto drainer
Deceptive self-presentation as an official product launch
Obfuscated .zip 'Press Kit' download from an odd host
Domain age information unavailable

Details

Page Title

Meet Phantom Cash.

Scan Type

public

Domain Name Analysis

Domain 'phantom-cash.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'phantom-cash'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://phantom-cash.vercel.app/

Page Load Overview

3.86s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,836 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
94%
education learning
91%
finance banking
91%
corporate business
86%
technology software
85%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13104.18.40.111Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
534--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13524A26BB9A1532EF6C78748EA527A88762198AFFD334CDCF15D9374478C7E28C02509

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vY+pv2pBnLTlfw9gL7K+lib8GcB36JUz9JAX7Z71o/eBeoe6eCeSeOugolvG9eMz:2YgL7K+D6JT7Z7NuDudi0mD5Al

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:227246:AEwCAg9C4AABIEQRQAKFIAMU5IwAQVhkB3ABhkAJ04ESHURGlBJZEhIsERqPJWkv2mFIBAFrjwGYJQUXBEAZB8CAopBACEEH

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:ffefffcb1f030301
Perceptual Hash:a9f328b49c6f4c86
Difference Hash:968f0b1b76377b33
Wavelet Hash:f7e3ffcb07030101
Color Hash:#693a78

Scan History

Scan history not available

Unable to load historical scan data