Security Scan Report: icsgencat-office-portal.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://icsgencat-office-portal.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

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

Risk Factors (5)
Brand impersonation of Generalitat de Catalunya (Gencat) on an unrelated vercel.app subdomain
Harvests credentials and posts them cross-origin to a third-party form endpoint
Domain unranked in Cisco Umbrella with unknown actual creation date (shared hosting tenant)
IDS HIGH severity alert for form exfiltration
Hidden password field not visible in the rendered page
Domain age information unavailable

Details

Page Title

Gencat Office Portal

Scan Type

public

Domain Name Analysis

The domain 'icsgencat-office-portal.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'icsgencat-office-portal'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 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

8.20s
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

malicious40% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

malicious
40%
suspicious phishing
39%
other
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · 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.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.50.131.141Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
55--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BA2D66928F30452459361766BDF95063E74C4434A09DD04BAFC8BE81FD1CA28FA7BF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:eClt3dHIPxxc5NqCbPbi+YSptmIXRl6BYaUWKZXb2G9Lfgr+4S+8H9RYNc+IVLe9:e2JIPxxc5Nv2op8IXRl6BYaUWKZXb2GM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23033:IzDFUBSAHHVigMQYCQSlSGgJYihAxEodoQiQuCNWAQPghYJqRZFBLghnRZDAUQki48dgkQIJABBITKMIILPizACZGZIIWpDE

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