Security Scan Report: pancakeswap-router-dapp-connect-v3652.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-v3652.vercel.app/

AI Security Verdict

High Risk

Confidence: 74%

8
Risk Score

Dead Vercel 404 page, but the subdomain impersonates PancakeSwap with a 'router/dapp-connect' wallet-lure pattern and carries a single-source phishing report. No forms or scripts served now; treat the host as a phishing/drainer attempt.

Risk Factors (4)
Deceptive hostname impersonating the PancakeSwap brand on a non-official domain
Phishing threat-intel report on the primary domain (single-source, unverified)
Deployed on an abuse-prone free hosting subdomain with unknown creation date
Dead/decommissioned deployment consistent with a taken-down lure rather than a real service
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'pancakeswap-router-dapp-connect-v3652.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'pancakeswap-router-dapp-connect-v3652'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three 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: :ncvbg-1792856369636-bde792da4d18 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
32%
healthcare medical
30%
technology software
29%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · 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

T152F1E99170653A3EF2338922189B511C313CE006ED275ECA998A95F09ADE5E23A6FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjA5vA7XOuT24gEcy5m:SuGh84BFy571EdkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCwuG4NCaKQkWwAJxEgyLBAY4tBEBahRBJQzgYiEGGECnAGTIIAIoiCgWNBiLAMESIgEQyfCEAhsTFRSkEBAGCYAG4

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:3c3c3c24e4fcf8e0
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data