Security Scan Report: pancakeswap-router-dapp-connect-v4009.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-v4009.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Randomized vercel.app subdomain using the PancakeSwap brand plus 'router-dapp-connect' lure terms, flagged as phishing and currently serving a disposable 404 deployment. No wallet-connect form was captured in this snapshot; avoid.

Risk Factors (4)
Hostname impersonates the PancakeSwap brand on an unrelated vercel.app subdomain
Phishing threat-intelligence match on the PRIMARY domain
Disposable deployment that resolves to a framework 404, consistent with burn-after-use phishing infrastructure
Network IDS flags of actor-abused cloud hosting service (vercel.app)
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'pancakeswap-router-dapp-connect-v4009.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pancakeswap-router-dapp-connect-v4009'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. It segments into 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 frat: :vdlxq-1792856873934- 489413073650 VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.15s
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 technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
32%
technology software
31%
healthcare medical
31%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · 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

T187F1EB9170653A3EF2378922189B511C313CE007ED175ECA998A85F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYj95+A7XOuT24gEcy5m:SuGh84BFy571xYkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhiguG4NKaKQEWwAJxEgyLBAY4tBEDehRBJAzgYiEGGECjAGTIIAIoiCgWNBiLAMESIgEQyfCEAhkTFRSkEBQGCYAG4

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:fcfcfce400083c24
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data