Security Scan Report: mudassirejaz.vercel.app

Redirected to:
https://mudassirejaz.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 18 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://mudassirejaz.vercel.app/

Effective URL:
https://mudassirejaz.vercel.app/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Self-branded personal developer portfolio on a Vercel subdomain with a standard contact form, no credential or payment fields, and no threat-intelligence, YARA or exfiltration signals. The two MEDIUM IDS alerts are generic 'abused cloud hosting' reputation tags for vercel.app, not content evidence.

Safety Factors (5)
No credential, password or payment collection anywhere on the page
Self-branding: site name matches its own hostname; no other entity's brand is presented
No Indicators of Compromise, YARA hits, IDS malware/phishing alerts or Safe Browsing flags
No cross-origin form submissions or credential exfiltration detected
Contact form uses a mainstream form-relay service and is a standard enquiry form
Domain age information unavailable

Details

Page Title

Mudassir Ijaz — Backend Developer

Scan Type

public

Domain Name Analysis

Domain 'mudassirejaz.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mudassirejaz'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://mudassirejaz.vercel.app/

Page Load Overview

0.74s
Total Load Time
2.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,013 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
185--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11323A761F151243A813747C9F269A769B1F3D30DE60A1824E3BD03BD27DEE65B82718B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:70C2IdCB2aJY1UGs1hq/nigcockyN7yEYTPA7JXs44eQoktCGBXbjJk3:YqcG6Gs161cockxEYyXX4eQoktLP23

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49220:E8AEB4VEiQxCEUVQIIhCClA4hngoJIOlAZAE4EYHRhLCEADSABAYCq1ESGsIFBg6AAUxcBgARQ7FTAoKCRIRHsDKIEAYhACy

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:02004e4e66464600
Perceptual Hash:964b69b44d92b44f
Difference Hash:962dcc8ccc8c8c73
Wavelet Hash:43016f4f6f4f4f01
Color Hash:#934c1f

Scan History

Scan history not available

Unable to load historical scan data