Security Scan Report: project-zne9e.vercel.app

Redirected to:
https://project-zne9e.vercel.app/
Submitted: Jul 3, 2026, 12:45:35 AMCompleted: Jul 3, 2026, 12:48:38 AMpubliccompleted
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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 project-zne9e.vercel.app and was registered NaN years ago.

Submitted URL: http://project-zne9e.vercel.app/

Effective URL: https://project-zne9e.vercel.app/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(77%)

Domain Information

You're looking at domain 'project-zne9e.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'project-zne9e'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://project-zne9e.vercel.app/

Page Load Overview

6.93s
Total Load Time
5
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
44%
cryptocurrency blockchain
36%
technology software
32%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195United States
AS16509Amazon.com, Inc.
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D81B3377B69211AF333C89FA1C26B993010A121D1ABCAB9FF479F15D5CA2651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMd/Jv:TGRe91n5O6Yp63XKk1Vr3hdRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:hAQQQQSAIAAygGSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwBEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:33333f0303033f3f
Color Hash:#79c6d2

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data