Security Scan Report: www.gennicat-cat.vercel.app

Redirected to:
https://gennicat-cat.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 3 countries across 4 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.gennicat-cat.vercel.app/

Effective URL:
https://gennicat-cat.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Phishing page impersonating Generalitat de Catalunya (Gencat) on lookalike vercel.app domain, harvesting email/password via cross-origin form to submit-form.com with fake Azure MFA branding.

Risk Factors (5)
Brand impersonation of Generalitat de Catalunya / Gencat on a mismatched, non-official domain
Credential (email + password) harvesting form submitted to external domain submit-form.com
Lookalike hostname gennicat-cat.vercel.app mimicking gencat.cat
Fake Azure Multi-Factor Authentication branding
IDS alert for landing page with form exfiltration to submit-form.com
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Domain Name Analysis

The domain 'www.gennicat-cat.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.gennicat-cat'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Generalitat de Catalunya [correu electronic Contrasenya Azure Multi-Factor Authentication (©2028 Micrasait

Page Load Overview

1.71s
Total Load Time
45 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:364 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
42%
government public service
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1195.77.128.93Madrid, Madrid, Spain
AS210158Agencia Para La Adminitracion Digital De La Comunidad De Madrid
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12.21.239.33Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12.21.239.13Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
66--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123D1306E28F6449755C779726EEFA6083D3480130808CE01FCAC55E55FE4D789EA6FB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PyHi7YGbLtFyi9Utv8HIPgkgCcSy3tL5qiRnyncZ3TN1ih:aClt3dHIPxxc5NqCbVbih

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6427:KgQxCCEQPjCjqBXpAgACAJEBARgsCUAFDBAKQMQACDKCCIXIIAKEGYIMIGAQAIBFAirWERIUjpQAMjhCIBzgRFEiggEAQAMi

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:0303030303030303
Perceptual Hash:a54a96b5a54a4bb5
Difference Hash:1717171716161616
Wavelet Hash:0707070707070707
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data