Security Scan Report: gabrielzion-portfolio.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 67 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://gabrielzion-portfolio.vercel.app/

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Self-branded developer portfolio on Vercel with no credential or payment forms, no impersonation and no threat-intel, hunting rule or phishing/malware IDS hits. Only generic platform-abuse network tags apply.

Safety Factors (5)
Self-branding: page title/meta name the site's own identity, matching its subdomain
No credential, password, or payment forms on the page
All JavaScript served from the site's own domain; zero cross-origin script targets
No Indicators of Compromise, no Safe Browsing hit, no malware or phishing IDS alert
Content reads as a genuine freelance developer portfolio with real contact channels
Domain age information unavailable

Details

Page Title

Gabrielzion - Full Stack Developer & Agentic Engineer

Scan Type

public

Domain Name Analysis

Domain 'gabrielzion-portfolio.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'gabrielzion-portfolio'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus four consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Gabrielzion Full-stack engineer building web apps and automation. Websites, apps and Al automation built to grow your business, from first idea to launch. Available View My Work 21 3+ 12 Project...

Page Load Overview

4.17s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,458 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software90% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
90%
documentation technical
78%
corporate business
55%
government public service
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
673--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5C512318362FDDD1F3A4DA5F1397E281CE23E77D288C16AF6CC44D624E6D61CA158A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:tOa2aQEUa8+4HhW1wOq7DmdOV+2sncs8YheCEOtiULFjU+4HhW1tOq7DmdNV+2s4:r8AwOqVjsJhnpjuAtOqaYsChgpm6Sa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2685656:IrCxQQGQcpGDKosRCiwGKEkBVJwVkaQYgl5EAQEBIDABhFhRQoJMJbEoIgiIUCiQRSGmgiAbaC1kc6NjKP0mBxUeK0BMDFCT

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:3f1f1191f1f9bfff
Perceptual Hash:e9099696c16dcb69
Difference Hash:6a373333b33133df
Wavelet Hash:3b0f010111f19fff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data