Security Scan Report: mintnew-toknso5.vercel.app

Submitted: Oct 25, 2025, 6:59:01 PMCompleted: Oct 25, 2025, 7:00:50 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mintnew-toknso5.vercel.app and was registered NaN years ago.

Submitted URL: https://mintnew-toknso5.vercel.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>5 years)
No credential or payment collection fields
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(77%)

Domain Information

The domain name 'mintnew-toknso5.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'mintnew-toknso5'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is 3 characters. 'ver' most strongly signals Portuguese. You may catch it in Portuguese (Brazil) and Galician as well.

Screenshot

Security scan screenshot of https://mintnew-toknso5.vercel.app/

Page Load Overview

51.92s
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:100%

Website Classification

Primary Category

other77% confidence
Type: static
Method: ml+structural

All Detected Categories

other
77%
malicious
37%
e-commerce
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131United States
AS16509AMAZON-02
164.29.17.131United 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

T13B3176B745B2702EF23B8CFD34D637646244851BC0920F59B61DABF8E2C7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz720:nGi9ScnwEY20

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIEQAQBAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAAAAQIAAMAAAAAQAA

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:f0f0fce4e0f0f0e0
Color Hash:#1f5993

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data