Security Scan Report: pancakeswap-router-dapp-connect-v946.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 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-v946.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Dead Vercel 404 page, but the subdomain impersonates PancakeSwap with dApp-connect lure naming and carries a phishing threat-intel match. Treat the domain as a phishing/wallet-drainer host; do not connect a wallet.

Risk Factors (5)
Brand impersonation of PancakeSwap in the subdomain name on a non-official domain
Single-source phishing threat-intel match on the primary domain
Wallet/dApp 'connect' and 'router' lure naming typical of drainer phishing kits
Disposable shared-hosting subdomain with unknown creation date, now showing a deployment-not-found error
IDS alerts for abuse of cloud hosting service infrastructure
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'pancakeswap-router-dapp-connect-v946.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'pancakeswap-router-dapp-connect-v946'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 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: : f8gbf-1792857249939-51fc413f5f29 VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.16s
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 technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
news media journalism
32%
healthcare medical
30%
government public service
30%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184F1FA9170653A3EF2338962189B511C313CE007ED275EDA998A85F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjk53A7XOuT24gEcy5m:SuGh84BFy571QRkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmPElhCguG4NCaKQEWwQJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoiCgWNBiLAMESIgEQyfiEAhkTFRSkEBAGCYIG4

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:3c3c3c24243c3c24
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data