ScanMalware.com

Security Scan Report: andruweir.vercel.app

Submitted: Jul 2, 2026, 1:50:24 AMCompleted: Jul 2, 2026, 1:53:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is andruweir.vercel.app and was registered NaN years ago.

Submitted URL: https://andruweir.vercel.app/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk site with no credential collection, malware, or brand impersonation; primarily a personal/creative page on a Vercel subdomain.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain age on a hosting platform
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript or network indicators
No external links or cross‑origin form submissions
No brand impersonation or trademark misuse
Domain age information unavailable

Details

Page Title

Ruby Programming Language

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

healthcare medical

(68%)

Domain Information

The domain 'andruweir.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'andruweir'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://andruweir.vercel.app/

Page Load Overview

0.78s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:5,537 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical68% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
68%
documentation technical
59%
finance banking
55%
education learning
52%
technology software
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
064.29.17.195United States
AS16509Amazon.com, Inc.
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
23--

Detected Technologies4

Vercel
40%
HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115425CBBECF4732E9E7013AF64A8DF6367AA3A8851D74D5C61803346875728D0F115B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:N0SbuFVponIzCgsb7h0cotsX0Gaq/z6pNV1WdhykEFRbmrhh439T:N0S8on29EhfWf4ENGDeRb53J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12256:AIogYGkL0AUozJoAR5GA0ioAkTALZEkBoUQJyBBYbCiICYB8MAECBCKkQN7x1hU0DHKYwKkAuAAVQUAYFOApUpgOIE4qAbdF

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data