Security Scan Report: tonbinnew.vercel.app

Submitted: Oct 4, 2026, 2:52:36 AMCompleted: Oct 4, 2026, 2:53:18 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Unranked .vercel.app crypto/TON app directory with a Connect Wallet prompt, but no forms, no credential capture, no impersonation and no malware signals. Weak priors only; nothing malicious in the page content.

Risk Factors (3)
Hosting-platform subdomain (.vercel.app) with unknown actual page creation date
Leftover template title ('Next.js Portfolio Starter') inconsistent with the crypto wallet directory content
Crypto 'Connect Wallet' funnel on an unranked, unverified host — wallet-drainer lures are common in this space
Safety Factors (5)
Zero forms, password fields, payment fields or disguised password fields
No cross-origin credential submission or exfiltration observed
Threat-intel match is reputation-only on a third-party resource address, not a content-malware indicator for this page
IDS alerts are informational/heuristic (shared hosting, Telegram DNS/SNI) and not phishing or malware signatures
Third-party links point to recognizable TON ecosystem projects rather than cloned login pages
Domain age information unavailable

Details

Page Title

Next.js Portfolio Starter

Scan Type

public

Domain Name Analysis

The domain 'tonbinnew.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'tonbinnew'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tonbinnew.vercel.app/

Page Load Overview

1.23s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:470 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
85%
cryptocurrency blockchain
81%
cryptocurrency
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.199.108.133Fastly · CDNUnited States
AS54113Fastly, Inc.
145.196.29.100Cloudflare · CDNSeychelles
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.3.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.199Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
199.84.152.8Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
113.226.244.43Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
113.226.244.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.46Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7344--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16413FA647004D53E5C2B8F15B4BDBF38910CF226CF638855A34D848EDBD2EF1AA5BA81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pivzRK3Uzgi4WuIbZJ5D0rGV4xksc64Jysq7vxO54Y8WD64X+cycfcScNc5c6QDI:6Jebx/c64Jysq7vxO5KpMt+IDQU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43900:CJDFCEG1R+aoBAJAmoY4C0kApWIJDTkuX0MASwo5gEIhBAFjDEhoSEQIBQQDJBdgAEClwmoJqBIoihGCqwfZUQuEkA4Fc4aS

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:ffe7e7e7efebe1e1
Perceptual Hash:e396499c9a63926b
Difference Hash:310a0a0e0e0a0a0b
Wavelet Hash:bd87c3c383e3c1c1
Color Hash:#53ac62

Scan History

Scan history not available

Unable to load historical scan data