Security Scan Report: pancakeswap-router-dapp-connect-v3712.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-v3712.vercel.app/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Phishing-style PancakeSwap brand impersonation hostname on a free Vercel subdomain, backed by a single-source phishing report; currently serving only a 404 error with no forms. Do not trust or interact with it.

Risk Factors (5)
Deceptive hostname impersonating the PancakeSwap brand on a free hosting subdomain
Single-source phishing threat-intel match against the primary domain
Unknown subdomain creation date on a platform where anyone can publish instantly
Domain unranked / no established reputation
Page resolves only to a 404, consistent with a removed phishing kit rather than a disclosed legitimate service
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pancakeswap-router-dapp-connect-v3712.vercel.app' is registered; it also runs on subdomain 'pancakeswap-router-dapp-connect-v3712'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to 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: :qrj17-1792856626791-7e0d553548e0 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%
news media journalism
31%
healthcare medical
30%
government public service
29%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · 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

T1F2F1EA9170613A3EF2378922189B511D313CE007ED275ECA998A95F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjs5bA7XOuT24gEcy5m:SuGh84BFy571wtkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgciEGGUCjAGTIIAIoiCgWNBiLAMFSIgEQyfCEAhkTFRSsEBAGCYAG4

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