Security Scan Report: tonsquare-dapp.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 50 IPs in 6 countries across 39 domains to perform 155 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://tonsquare-dapp.vercel.app/en/access-key

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

Self-branded TONSquare crypto 'Access Key' dApp on an anonymous Vercel subdomain, with a single-source unverified phishing report against its own domain; no credential fields or malware code found, but wallet-connect and TON payment funnel warrant caution.

Risk Factors (5)
Single-source unverified phishing report on the primary domain (PhishDestroy)
Hosted on an anonymous free Vercel subdomain with no attributable creation date
Unranked domain hosting a financial/crypto token sale interface
Solicits wallet connection and TON-denominated payments via 'Claim'/'Mint' actions
IDS alerts for commonly actor-abused cloud hosting service and multiple cross-domain redirects
Domain age information unavailable

Details

Page Title

Key Add-on Program | TONSquare

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'tonsquare-dapp.vercel.app' is registered, featuring subdomain 'tonsquare-dapp'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

\] D TONSquare AccessKey Referral Stake ~— Bridge (Pre-mainnet) NFT V v Get your Access Key TONSquare Public Whitelist © Key Balance Otonv Add-on Access Key a ~ Current Tier Tier Next Tier Price...

Page Load Overview

5.95s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:961 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency45% confidence
Type: spa
Method: structural

All Detected Categories

cryptocurrency
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
334.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3185.199.111.133Fastly · CDNUnited States
AS54113Fastly, Inc.
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3172.66.147.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3172.66.170.210Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35.39.219.76Amsterdam, North Holland, Netherlands
AS57043Hostkey B.v.
15550--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A373F86F7102DC1A69BBCD99203A6F3AD049C977C73AC42DE28CC97A12D2C7E4F69544

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gGTKEm43vwLz08b8FGUDnfuOpZAAyLt01bMFwDf7tvHBVGLMGH+AXAprEA6AfjzC:gGTKEfu488FbDnfuOpZAAcCVMFwL7tfU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74072:gi4AETUEYBD5CieoAIQIOeCYpFYIQAC+FNQITBFAGSQBo0HLsnAMqYNCgVTgGEIRN0CKo44IQAVdgQtJGMEA9hVOEICIARaE

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:f9e7fff1f0f1f4ff
Perceptual Hash:edb39269699a8a4c
Difference Hash:49cc282327232465
Wavelet Hash:b9e6f690f090f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:49cc282327232465

Scan History

Scan history not available

Unable to load historical scan data