Security Scan Report: pancakeswap-router-dapp-connect-v4228.vercel.app

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

Submitted URL: https://pancakeswap-router-dapp-connect-v4228.vercel.app/

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Dead Vercel 404 page, but the subdomain is purpose-built to impersonate PancakeSwap with dapp/wallet-connect lure terms and carries a phishing report. Brand impersonation drives HIGH_RISK despite no live form.

Risk Factors (4)
Deceptive hostname impersonating the PancakeSwap brand with wallet-connect/decentralized-app lure terms
Single-source (uncorroborated) phishing report on the primary domain
Instant/free hosting subdomain with unknown creation date, unable to substantiate any legitimate brand claim
Deployment removed or never completed — the subdomain name is the durable artifact, consistent with throwaway phishing infrastructure
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'pancakeswap-router-dapp-connect-v4228.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'pancakeswap-router-dapp-connect-v4228'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

This page doesn’t exist It may have been moved, removed, or never existed. 494 DEPLOYMENT_NOT_FOUND arnd: :x566t-1792856936021-30de9924c507 VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.17s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
technology software
31%
news media journalism
30%
healthcare medical
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3F1EA9170653A3EF2378922189B511D313CE007ED275ECB998A85F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjj5MA7XOuT24gEcy5m:SuGh84BFy571PykXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCg+G4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoyCgWNBiLAMESIgEUyfCEAhkbFRSkEBAGCYAG4

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4041c3c24
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data