Security Scan Report: vercelapptest.xyz

Submitted: Feb 28, 2026, 10:27:46 AMCompleted: Feb 28, 2026, 10:29:00 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is vercelapptest.xyz and was registered NaN years ago.

Submitted URL: https://vercelapptest.xyz/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No malicious indicators detected; the site appears to be a harmless demo on a newly registered domain.

Safety Factors
Brand‑new domain but no suspicious content or behavior
Standard hosting without IPFS or cloud‑storage involvement
Page displays only a developer demo (Next.js API + Auth)
No credential or payment collection mechanisms present
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

technology software

(39%)

Domain Information

Domain 'vercelapptest.xyz' uses the open generic top-level domain (.xyz) without a subdomain. The core label 'vercelapptest' covers 13 characters containing 4 vowels alongside nine consonants. It segments into four words: ver, ce, lapp, test. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vercelapptest.xyz/

Page Load Overview

0.82s
Total Load Time
9
HTTP Requests
1
Domains
85 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:314 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
39%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.65United States
AS16509Amazon.com, Inc.
91--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F17165A9CD04CE1904538558E797D19F610B873CC654749CBFCB74BDA2A95B8C838CCD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:gUaq7JLgHMgxeCw53uf9MXufF01rF0GIOSFZ/4dUoRJ1Pu:gnq7JcH9Lw53ufSXufFqFyOSFZ/4dbu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3802:FIEIABgAARAAIAAACAoIIIFALCCAABgkABgQQRAQAQKAGCQAAAAkBBopgAQCEAsAgIQAAAAAIAhCEQEAIRIiAEAAAAoEEAAG

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:cfc3c3c7cfffffff
Perceptual Hash:b4309b9b9ab2666c
Difference Hash:1816060c36040000
Wavelet Hash:0f030307c0fcfcfc
Color Hash:#6d931f

Other Hashes

Crop Resistant:1816060c36040000

Scan History

Scan history not available

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