Security Scan Report: coinbase-supportdesk.vercel.app

Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 6 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://coinbase-supportdesk.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Coinbase support desk on a free vercel.app subdomain claims to be the official help center and collects wallet/transaction details. Not affiliated with Coinbase — avoid.

Risk Factors (4)
Impersonation of a major crypto exchange (Coinbase) on a non-official, free-hosting subdomain
Solicits wallet addresses / transaction hashes from users under the guise of support
Unranked domain claiming to be an established financial brand
False-authority trust badges and 'official' licensing claims
Domain age information unavailable

Details

Page Title

Coinbase Customer Support · Official Help Center

Scan Type

public

Domain Name Analysis

You're looking at domain 'coinbase-supportdesk.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'coinbase-supportdesk'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Coinbase Support Coinbase Customer Support Secure help for your account, transactions, staking, and crypto. 24/7 official assistance. Contact Suppo! BTrack request @ FDIC insured up to $250k @& 2...

Page Load Overview

0.45s
Total Load Time
509 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,467 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(98%)🇫🇷fr(2%)

Website Classification

Primary Category

finance banking68% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
68%
cryptocurrency blockchain
52%
government public service
45%
documentation technical
44%
technology software
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
189.222.125.6Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
118.195.233.43Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.158.80.242Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1210--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AC2962175F320636497E1A47B679B4B7794D107C20AC9643BFC42D8AFCADA8AC5378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:q3DwAj2LugTL3jfHwwMxG4Krug5NyAzjsMum:oDwA6LugTLjfO04KrjTyAzYMV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26667:EEIwDKxIKSQSBcFjWTARlm8GESlQXEAZYBUki9tVeYIS1QHTIAYURsNMYOQAEpTIhvEuJMIigCnUABgZkUJYJAoCQxRhJizT

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:8f8f9f9f9fff83ff
Perceptual Hash:bc1c61e1c2678e6e
Difference Hash:3b36363e38342b2b
Wavelet Hash:00060b0f9fbf83bf
Color Hash:070020001c0

Other Hashes

Crop Resistant:3b36363e38342b2b

Scan History

Scan history not available

Unable to load historical scan data