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Security Scan Report: genccatt.vercel.app

Submitted: Sep 15, 2026, 12:45:24 AMCompleted: Sep 15, 2026, 12:46:01 AMpubliccompleted

Summary

This website contacted 6 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is genccatt.vercel.app and was registered 20 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Confirmed phishing page impersonating the Generalitat de Catalunya login on genccatt.vercel.app, harvesting email and password via a cross-origin form that exfiltrates credentials to submit-form.com.

Risk Factors
Brand impersonation of a government authority (Generalitat de Catalunya) on a mismatched, unranked domain
Credentials (email + password) exfiltrated to an external third-party form backend (submit-form.com)
Hosted on the instant-publish platform vercel.app where subdomain creation date is unknown
Concealed password field hidden from the rendered page
High-severity network IDS alert for form exfiltration
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain 'genccatt.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'genccatt'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.08s
Total Load Time
5
HTTP Requests
3
Domains
38 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
5195.77.128.93Madrid, Madrid, Spain
AS210158Agencia Para La Adminitracion Digital De La Comunidad De Madrid
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.50.131.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
023.50.131.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
56--

Page Statistics

5
Requests
3
Unique Domains
44.8 KB
Total Size

Detected Technologies4

X-UA-Compatible
100%
PasswordField
100%
Vercel
40%
HSTS
40%

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:#b6c587

Other Hashes

Crop Resistant:b89bb3b880a0a0a0,0000000000000000

Scan History

Scan history not available

Unable to load historical scan data