Security Scan Report: mintnew-toknso3.vercel.app

Submitted: Oct 30, 2025, 11:00:47 PMCompleted: Oct 30, 2025, 11:01:45 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mintnew-toknso3.vercel.app.

Submitted URL: https://mintnew-toknso3.vercel.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(52%)

Domain Information

Domain 'mintnew-toknso3.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mintnew-toknso3'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus four consonants. Segmentation suggests two words: ver, cel. Expect three characters per word on average. 'ver' most strongly signals Portuguese. You will also see it in Portuguese (Brazil) and Galician contexts. Taken together, it feels Portuguese.

Screenshot

Security scan screenshot of https://mintnew-toknso3.vercel.app/

Page Load Overview

6.77s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
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:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service52% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
52%
news media journalism
52%
cryptocurrency blockchain
51%
healthcare medical
50%
real estate property
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3United States
AS16509AMAZON-02
1216.198.79.3United States
AS16509AMAZON-02
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B93152B745B1702EF33B88FE34E637646244851BC0960F99B618ABF8E2C7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7R0:nGi9ScnwEYR0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEBACYAAIAACAAAAAAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAABAQIgAMAAAAAQAA

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:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:0f0f3f27243c3c24
Color Hash:#4062bf

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data