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

Redirected to:
https://gencat-portal-officedsk.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 3 countries across 4 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://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

Fake 'Generalitat de Catalunya' (Gencat) Office 365 login on a vercel.app subdomain: captures email/password and posts them to an external submit-form.com endpoint. Confirmed credential phishing — do not enter credentials.

Risk Factors (5)
Impersonation of a different entity's brand (Generalitat de Catalunya) on a domain that is not its official one
Credential-capture login form (email + password) exfiltrating to an external third-party endpoint (submit-form.com)
Phishing report against the primary domain in threat intelligence
Network IDS high-severity alert for form exfiltration and medium alerts for abuse of the vercel.app hosting service
Obfuscated hidden fields (AuthMethod, destination, flags, forcedownlevel) mimicking a real SSO/ADFS login page
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Domain Name Analysis

Domain 'www.gencat-portal-officedsk.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.gencat-portal-officedsk'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Breaking it apart gives 2 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

0.94s
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
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1195.77.128.93Madrid, Madrid, Spain
AS210158Agencia Para La Adminitracion Digital De La Comunidad De Madrid
123.50.131.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.50.131.141Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
75--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FEA2D66A28F30452459361766BDF95063E74C4434A09DD04BAFC8BE81FD1CA28FA7BF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:eClt3dHIPxxc5NqCbPbieoSptmIXRl6BYaUWKZXb2G9Lfgr+4S+8H9RYNc+IVLe9:e2JIPxxc5Nv2wp8IXRl6BYaUWKZXb2GM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23033:PPCETLQHk4GMwCRCoFhkykxMRFoNAMK6EAAIDYAXWAalAQDoYElBhAAVggUMMV8jA0xNhRAUSPBUCflIDyQDGQHJzEGZyJSQ

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:a54a52b5ab4a4bb5
Difference Hash:1717171716161616
Wavelet Hash:0707070707070707
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data