Security Scan Report: pancakeswap-router-dapp-connect-v3703.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-v3703.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Dead Vercel page, but the hostname impersonates PancakeSwap (router/dapp connect) and the domain carries a single-source phishing report with abused-hosting IDS alerts — treat as a likely phishing URL kept offline; do not connect wallets.

Risk Factors (5)
Deceptive hostname impersonating the PancakeSwap brand on an unrelated domain
Single-source phishing threat-intel report on the primary domain
Hosted on an instant-publish cloud platform namespace commonly abused for throwaway phishing
IDS alerts for actor-abused cloud hosting service (vercel.app)
Unranked domain with no verifiable reputation
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'pancakeswap-router-dapp-connect-v3703.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'pancakeswap-router-dapp-connect-v3703'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. It segments into two 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: :nSmtk-1792856573724-f9cbt6er4acd 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
31%
healthcare medical
31%
government public service
30%
technology software
30%

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

T147F1EB9170653A3FF2338922189B511D313CE007ED275ECA998A85F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjU5DA7XOuT24gEcy5m:SuGh84BFy571IBkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:aAmOElhCguG4NCaKQEWwAJxMgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoiCkWPBiLAMESIgFQyfCEAxkTFRSkEBAGCYAG4

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