Security Scan Report: baseservices.vercel.app

Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 12 domains to perform 205 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://baseservices.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

A fake Coinbase page on a vercel.app subdomain impersonating the brand, promising 5% daily staking returns and collecting emails. Flagged by Google Safe Browsing for social engineering.

Risk Factors (7)
Brand impersonation of Coinbase on an unrelated vercel.app subdomain
Google Safe Browsing Social Engineering detection
Threat-intel phishing report on the primary domain
Unrealistic '5% daily returns' staking promotion typical of crypto scams
Two email-collection 'Sign in' forms harvesting user emails on an impersonated brand page
IDS alerts for actor-abused cloud hosting service (vercel.app)
Unranked domain impersonating a top-tier cryptocurrency brand
Domain age information unavailable

Details

Page Title

Coinbase - Buy and Sell Bitcoin, Ethereum, and more with trust

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'baseservices.vercel.app' is registered; it also runs on subdomain 'baseservices'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Cc Cryptocurrencies Individuals Businesses Institutions trodlucing Fixed High-Interest Staking J Eam Daily in USDC] @™5% daily returns Developers Company OG) <== ODF $33,683.80 7 $131.36 (1.38...

Page Load Overview

12.08s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:12,720 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(98%)🇪🇸ca(1%)🇫🇷fr(1%)

Website Classification

Primary Category

cryptocurrency blockchain72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
72%
technology software
58%
corporate
35%
cryptocurrency
30%
e-commerce shopping
29%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12964.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
38104.18.35.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1089.222.125.5Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1013.33.187.102Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
10104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1052.217.115.122Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
10216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1013.33.187.2Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
20519--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D935C917A573563E914782BCB7A22E482110C503AE17DCACFB9CA3715F8EBE86E5174C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Z1WS3qZqLzg82pCHbFQAaSwsJqFzYTB+0580IOuYozDwHhDhSv3JcfaXYLUcbY3S:3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1064206:AQ5cgiADRB+PUKEK6QkqFIBCIZEVUQDOURYGEK0CawY8QSRAKgoCUIMAa4eARYCIJgJBQEBRcSo0qCFBBJo2HqGCEVAYFCgA

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:008f0f2f272f2fee
Perceptual Hash:b33c5c4a44431f3f
Difference Hash:e9185a4b4b4b4858
Wavelet Hash:008f0f2f232f2fae
Color Hash:06000000180

Scan History

Scan history not available

Unable to load historical scan data