Security Scan Report: pancakeswap-router-dapp-connect-v3640.vercel.app

Submitted: Completed: publiccompleted
This website contacted 4 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-v3640.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Dead Vercel 404 page, but the hostname impersonates PancakeSwap in a wallet-connect/drainer naming pattern and carries a single-source phishing report — treat as hostile infrastructure.

Risk Factors (4)
Deceptive hostname presenting itself as the PancakeSwap decentralized-exchange brand on a domain it does not own
Primary-domain phishing report (single-source, unverified) matching the impersonated-brand naming
Free instant-publishing subdomain with unknown actual creation date, typical of throwaway phishing infrastructure
Deployment already taken down/rotated, consistent with short-lived lure hosting
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'pancakeswap-router-dapp-connect-v3640.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'pancakeswap-router-dapp-connect-v3640'. The core label 'vercel' covers 6 characters with two vowels and four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. 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 arn: :SW7bn-1792856323838-d55b6e92cb29 VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.14s
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
34%
news media journalism
32%
healthcare medical
31%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
24--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19BF1F99170613A3EF2338922189B511D313CE006ED275ECB9D8A85F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjf05yGA7XOuT24gEcy5m:SuGh84BFy571odkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAZxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoiCgWNBiLAMESIiEQyfCEAhkTFRSkEBAGCYAO4

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:f0f0fce4e0f0f0e0
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data