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

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 3 countries across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Fake Generalitat de Catalunya login on a vercel.app subdomain harvesting email and password and exfiltrating them to submit-form.com — confirmed credential phishing.

Risk Factors (5)
Brand impersonation of a government entity (Generalitat de Catalunya) on an unrelated hosting subdomain
Cross-origin credential form exfiltration to submit-form.com
HIGH IDS alert for form exfiltration to submit-form.com
Threat-intel phishing report on the primary domain
Free/instant hosting subdomain with unknown actual creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Domain Name Analysis

The domain 'gencat-portal-officedsk.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'gencat-portal-officedsk'. Count 6 characters in 'vercel' with two vowels and four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at 3 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

1.35s
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
164.29.17.3Aws · 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.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
55--

Detected Technologies4

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