Security Scan Report: tonbinnew.vercel.app

Redirected to:
https://tonbinnew.vercel.app/
Submitted: Jul 14, 2026, 6:52:03 PMCompleted: Jul 14, 2026, 6:53:26 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is tonbinnew.vercel.app and was registered NaN years ago.

Submitted URL: http://tonbinnew.vercel.app

Effective URL: https://tonbinnew.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows a personal portfolio with no malicious indicators; low risk.

Safety Factors
Self‑branded portfolio site
No forms or data collection
No malicious external resources detected
Domain age information unavailable

Details

Page Title

Next.js Portfolio Starter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

You're looking at domain 'tonbinnew.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'tonbinnew'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.62s
Total Load Time
70
HTTP Requests
27
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
7064.29.17.131United States
AS16509Amazon.com, Inc.
701--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F513FA647004D53E5C2B8F15B4BDBF38910CF226CF638855A34D848EDBD2EF1AA5BA81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:divzRK3Uzgi4WuSbZJ5D0rGV4xksc64Jysq7vxO54Y8WD64X+cycfcScNc5c6QDI:UJebx/c64Jysq7vxO5KpMt+IDQU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43969:OEgNZBtIMISEQIJomyGtR6w0AqJAYoESMRyBqphAD/hKBKj6IAE7IA0SSQgpYAOIlupUAoiwPKSQHpg2gDAACYMM0jZBC49Y

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:fde7e7e7efebe1e1
Perceptual Hash:e396499c9a63926b
Difference Hash:310a0a0e0e0a0a0b
Wavelet Hash:bd87c3c383e3c1c1
Color Hash:#c5878e

Scan History

Scan history not available

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