Security Scan Report: pancakeswap-router-dapp-connect-v3667.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-v3667.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Defunct vercel.app page whose hostname impersonates PancakeSwap with router/dapp/connect lure terms and carries a phishing report; deployment removed, but treat the URL as hostile.

Risk Factors (5)
Domain name impersonates the PancakeSwap decentralized-exchange brand on a non-official host
'router-dapp-connect' naming matches the wallet-connect drainer/phishing URL convention
Single-source phishing threat-intelligence report against the primary domain
Anonymous, instantly creatable shared-hosting subdomain with unknown creation date
Removed/never-deployed deployment suggests disposable throwaway 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-v3667.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'pancakeswap-router-dapp-connect-v3667'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. It segments into two words: ver, cel. The median word length lands 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 frad: :p88vn-1792856430636-c54db405c9rD VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.45s
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%
news media journalism
32%
government public service
30%
technology software
29%
healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · 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

T1D3F1DA9170613A3EF2378922189B511D313CE006ED275ECA9D8A45F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjv50A7XOuT24gEcy5m:SuGh84BFy571DCkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YCmOElhCguG4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgYiEGGGCjAGbIIAIoiigWNBiLAMESIgERyfCEAhkTFRSkEBAGCYAG4

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:fcfcfce420303820
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data