Security Scan Report: pancakeswap-router-dapp-connect-v3742.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-v3742.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Dead Vercel 404 page on a subdomain that impersonates PancakeSwap with dapp-connect lure wording and a single-source phishing report; no forms or scripts, but the deceptive hostname keeps it high-risk.

Risk Factors (4)
Deceptive hostname impersonating the PancakeSwap brand on a non-official domain
Single-source phishing threat-intel report against the primary domain
Deceptive naming pattern typical of wallet-drainer/connect-dapp lures (brand + router + dapp-connect + numeric suffix)
Hosted on a free instant-provisioning platform subdomain where content can be swapped at any time
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-v3742.vercel.app' is registered; it also runs on subdomain 'pancakeswap-router-dapp-connect-v3742'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus four consonants. Segmentation suggests two words: ver, cel. Average segment length settles at 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: :jznme-1792856825850-d909c1d2096d VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.40s
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
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · 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

T1AEF1FB9170653A3EF2338922189B511C313CE007ED275ECA998A45F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjC55A7XOuT24gEcy5m:SuGh84BFy571WnkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YCmOElhCguG4NCaKQkWwAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoiCgWNBiLAMEaIgEQyfCEAhkXFRSkEBAGCYAG4

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:0f0f3f27070f0f07
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data