Security Scan Report: gencatportaltdc.vercel.app

Submitted: Sep 15, 2026, 12:45:25 AMCompleted: Sep 15, 2026, 12:46:04 AMpubliccompleted

Summary

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

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Generalitat de Catalunya / Azure MFA login on a vercel.app subdomain that harvests email and password and exfiltrates them to submit-form.com. Confirmed credential phishing.

Risk Factors
Brand impersonation of a government institution (Generalitat de Catalunya) on a non-official domain
Credential (email + password) form submitting to an external third-party endpoint (submit-form.com)
Password field present in HTML but hidden from the rendered screenshot
Hosted on free/instant hosting platform namespace with unknown page creation date
Domain unranked in Cisco Umbrella top 1M
IDS alerts for abused cloud hosting service (vercel.app)
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

You're looking at domain 'gencatportaltdc.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'gencatportaltdc'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Tokenizing the label 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 https://gencatportaltdc.vercel.app/

Page Load Overview

2.96s
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
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.50.131.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0195.77.128.93Madrid, Madrid, Spain
AS210158Agencia Para La Adminitracion Digital De La Comunidad De Madrid
023.50.131.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
56--

Page Statistics

5
Requests
3
Unique Domains
45.0 KB
Total Size

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:#3a7861

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data