Security Scan Report: dev-maher.vercel.app

Redirected to:
https://dev-maher.vercel.app/en
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 1 domain to perform 36 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://dev-maher.vercel.app/

Effective URL:
https://dev-maher.vercel.app/en
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Self-branded frontend-developer portfolio on a Vercel subdomain with a plain contact form only — no password or payment fields, no impersonation, no Indicators of Compromise or malware signals. The Vercel-named IDS alerts describe the platform, not this page.

Safety Factors (5)
Self-branding consistent across title, meta, Open Graph and page body; domain prefix matches the developer's name
No credential or payment collection of any kind (password fields = 0, payment fields = 0)
No threat-intelligence matches and no JavaScript malware patterns
All JavaScript loaded same-origin; no cross-origin credential submission or exfiltration
Consistent, coherent content typical of a real developer portfolio, including linked work samples
Domain age information unavailable

Details

Page Title

Mohamed Maher | Frontend Developer

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'dev-maher.vercel.app' is registered and includes subdomain 'dev-maher'. The second-level label 'vercel' is 6 characters long with 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dev-maher.vercel.app/

Page Load Overview

1.93s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,037 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software99% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
99%
education learning
99%
blog personal website
99%
social media network
98%
cryptocurrency blockchain
97%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
9216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
9216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
964.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177D31829F000DD2D9D578D8CB5BEBE3D805DC26AC7758829F39CC41512C2EB9ABA76C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qDfeDBrhg9rBECgGHkVD6EVCH2/4g/YtmV08ZQZstdxYZMQQ:+feDB2rBECgGHkVD6EVCH2/4ghQZDZMp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142500:QEgECBJISCK1cUYYBgDMACyY8EAwk8IORBUxC1gxLENA4ABBYoMWwQRgSTnq0DBwbPgJAV0EYwCQDAAkwDBkSrMMMAwAkIBY

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:bd0080ffffe7ffff
Perceptual Hash:da7a63838d81f5c8
Difference Hash:61213d32324c0d32
Wavelet Hash:010000bfbfe7e7f8
Color Hash:#bf8240

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data