Security Scan Report: afzalimdad9.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 1 domain to perform 69 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://afzalimdad9.vercel.app/work

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Personal developer portfolio on vercel.app with no forms, no impersonation and no threat-intel hits. Only noise is generic cloud-hosting abuse-reputation IDS tags and a benign redirect loop.

Risk Factors (2)
Hosting-platform subdomain (vercel.app) whose actual creation date cannot be verified — page could be very recent
Circular redirect observed on the final URL (final URL recurs in the redirect chain), which can indicate a misconfiguration or JS history manipulation
Safety Factors (5)
No forms, no login, no payment fields anywhere on the page
No Indicators of Compromise, no hunting rule malware, no known phishing kit in the roster
No brand impersonation — the site displays only its own owner's name matching its hostname
All JavaScript served from the site's own domain; zero cross-origin network targets and no credential exfiltration
Content is coherent, technically detailed project documentation typical of a real engineering portfolio
Domain age information unavailable

Details

Page Title

Work | Afzal Imdad

Scan Type

public

Domain Name Analysis

The domain name 'afzalimdad9.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'afzalimdad9'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

AFZAL IMDAD Work Systems About Writing Contact — SELECTED PROJECTS WORK A curated selection of projects across blockchain, artificial intelligence, and full-stack engineering. Filter by domain or v...

Page Load Overview

2.09s
Total Load Time
624 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,935 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
42%
documentation technical
41%
cryptocurrency
38%
cryptocurrency blockchain
26%
entertainment media
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1764.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1764.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
694--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129E3D972B311EA6E57534F7937B9AE78D058972AC2039874F2BCC265078ECF45B53A80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5ZQCMsMw2gC4AAW91h8Am6mty6lRchot32BXh6OyVghPkaUnPha/9lpV641pgn3j:T3MlglAAW91h8Amzty4Rchot32BXhVyZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149371:hDQRyBQMJhoMWEOEAiEhpQkBAHF8EBgNAvDlHQMAQghwqSSAHCASLPAcLs8ChkkCMGkgRiEAAAlJIoRouGQQEzgCKgUKHkiT

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:0460700038383c3c
Perceptual Hash:c370933e3c9ec4c3
Difference Hash:acd1c02040404840
Wavelet Hash:ff617900383c3c3d
Color Hash:N/A

Other Hashes

Crop Resistant:acd1c02040404840

Scan History

Scan history not available

Unable to load historical scan data