Security Scan Report: www.gencat-portal-officedsk.vercel.app

Redirected to:
https://gencat-portal-officedsk.vercel.app/
Submitted: Sep 15, 2026, 12:45:20 AMCompleted: Sep 15, 2026, 12:46:01 AMpubliccompleted

Summary

This website contacted 7 IPs in 3 countries across 4 domains to perform 2 HTTP transactions. The main domain is gencat-portal-officedsk.vercel.app and was registered 20 years ago.

Submitted URL: https://www.gencat-portal-officedsk.vercel.app/

Effective URL: https://gencat-portal-officedsk.vercel.app/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed phishing kit impersonating the Generalitat de Catalunya and Azure MFA on a Vercel subdomain, harvesting credentials and exfiltrating them to submit-form.com; IDS flagged the exfiltration.

Risk Factors
Cross-origin credential form submission to third-party service submit-form.com
Impersonation of a government brand on a non-official, unranked hosting-platform subdomain
Hidden password field in DOM
Network IDS HIGH alert for landing page with form exfiltration
Impersonation of Microsoft/Azure authentication UI
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'www.gencat-portal-officedsk.vercel.app' is registered and includes subdomain 'www.gencat-portal-officedsk'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gencat-portal-officedsk.vercel.app/

Page Load Overview

9.45s
Total Load Time
6
HTTP Requests
4
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
623.50.131.147Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0195.77.128.93Madrid, Madrid, Spain
AS210158Agencia Para La Adminitracion Digital De La Comunidad De Madrid
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.50.131.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
67--

Page Statistics

6
Requests
4
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:#3a5178

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data