Security Scan Report: a4tec-association.vercel.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 8 domains to perform 77 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://a4tec-association.vercel.app/

AI Security Verdict

Low Risk

Confidence: 74%

2
Risk Score

Self-branded A4TEC scientific association page on a Vercel subdomain with no forms, no impersonation and no malware or phishing indicators; only minor concern is unfinished placeholder content.

Risk Factors (2)
Free hosting subdomain (vercel.app) whose actual creation date is unknown
Several sections still contain Lorem ipsum placeholder text, suggesting an unfinished or template-driven build
Safety Factors (5)
Site displays its own brand name matching its hostname, not another organisation's brand
No forms at all — nothing that captures credentials, email addresses, or card data
Visible physical address, copyright notice and contact email consistent with an organisational site
Threat intelligence, JavaScript malware scans and known-kit roster all returned clean
Third-party hosts are mainstream and benign (Google Fonts, Prismic CDN, Google Tag Manager)
Domain age information unavailable

Details

Page Title

A4TEC Association

Scan Type

public

Domain Name Analysis

Domain 'a4tec-association.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'a4tec-association'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Hl ‘O,promote the: scientifictand 4 ne Bd pied ok ay d technological ena issue, eietiesnen Regenerative, {Medicines ! Pe: bb Wi aischt Til its f Human Ise content and ads, provide social media fea...

Page Load Overview

2.61s
Total Load Time
5.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,844 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
63%
adult content
41%
education learning
34%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
452.217.205.50Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
4146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
413.226.244.68Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4184.197.68.82Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
416.15.254.117Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
7718--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2043A7015110B3E5A0712DBB152F71FE1DAE10FD6F7C928B6FCCF95A389D688A1218A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8qbMjgvvvvvvvzzyAHxMMrkD3/mbMnzkdnx16hc:8qbMjgvvvvvvvzzyAHxMMrkD3/mbMnzi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190165:ASAAkqAEQAyWF6KssZLFiMFRQUhEFWLGgkKoQwEBJGM0MgkAiMiIJGKamEIOgIzQXWCAQmIU5AcAQARlObQYCA5EGUMFCxED

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:0f090c1c1e0c0c00
Perceptual Hash:9ba566939d6b9224
Difference Hash:d8ebf95950592935
Wavelet Hash:1f1f1f2d2f0f0d01
Color Hash:02007000000

Scan History

Scan history not available

Unable to load historical scan data