Security Scan Report: project-zne9e.vercel.app

Redirected to:
https://project-zne9e.vercel.app/step1-login.html/
Submitted: Jul 3, 2026, 1:45:34 AMCompleted: Jul 3, 2026, 1:48:58 AMpubliccompleted
Loading additional data...

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/step1-login.html/

Effective URL: https://project-zne9e.vercel.app/step1-login.html/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

(76%)

Domain Information

Within the application-focused generic top-level domain (.app), 'project-zne9e.vercel.app' is registered and includes subdomain 'project-zne9e'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Word splitting yields 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/step1-login.html/

Page Load Overview

0.29s
Total Load Time
3
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 technical76% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
76%
government public service
43%
cryptocurrency blockchain
34%
technology software
32%
real estate property
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131United States
AS16509Amazon.com, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB81A3377B69211AF333C89FA1C26B993010A121D1ABDAB9FF57DF15D5CA1261E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMFHvR:TGRe91n5O6Yp63XKk1Vr3hFPRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQUEBBACgiAAIDAAAIUwAEAkgcCCEGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:000000180e040000
Wavelet Hash:0f0f3f0303033f3f
Color Hash:#783a53

Other Hashes

Crop Resistant:000000180e040000

Scan History

Scan history not available

Unable to load historical scan data