Security Scan Report: pancakeswap-router-dapp-connect-v3688.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-v3688.vercel.app/

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Dead 404 page on a Vercel subdomain whose hostname impersonates PancakeSwap and whose domain carries a single-source phishing report. No forms remain, but the lure domain should not be trusted.

Risk Factors (4)
Deceptive hostname impersonating the PancakeSwap brand on a non-official domain
Threat-intel phishing report against the primary domain (single source, unverified)
Unranked domain hosted on a free instant-publishing platform subdomain of unknown creation date
Network IDS alerts noting actor-abused cloud hosting service (vercel.app) — weak corroboration, not page content
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'pancakeswap-router-dapp-connect-v3688.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'pancakeswap-router-dapp-connect-v3688'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to three 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 arn: :p5729-1792856562252-180ae8de7be7 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 technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
32%
technology software
30%
healthcare medical
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131Aws · 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

T141F1EA9170653A3EF2338922189B511C313CE006ED275ECB9D8A85F09ADE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjH54A7XOuT24gEcy5m:SuGh84BFy571LGkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgYiEGGkCjAGTIIAIoiCgWNBiLAMESIgEQyfCEAhkTFRSkEBAGCYAG4

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:fcfcfce420303c24
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data