Security Scan Report: roundawebil.vercel.app

Redirected to:
blob:https://roundawebil.vercel.app/04fa57b7-9489-471d-a6bc-d491e0e498...
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 2 countries across 10 domains to perform 14 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://roundawebil.vercel.app/#[email protected]

Effective URL:
blob:https://roundawebil.vercel.app/04fa57b7-9489-471d-a6bc-d491e0e498...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake SAPO webmail login on a vercel.app subdomain that harvests email/password and posts them cross-origin to armrealearn.com. Classic credential phishing targeting a sapo.pt account.

Risk Factors (5)
Brand impersonation of SAPO webmail on a non-official domain
Credential-harvesting login form (email + password) on a shared hosting-platform subdomain
Cross-origin POST of form data to armrealearn.com (external, unrelated domain)
Victim email address in the URL fragment targeting a specific sapo.pt account
Page addresses a security scanner's expectations (login-page title, hidden redirect fields) typical of phishing kits
Domain age information unavailable

Details

Page Title

Webmail Portal Login

Scan Type

public

Domain Name Analysis

The domain name 'roundawebil.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'roundawebil'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roundawebil.vercel.app/#a@sapo.pt

Page Load Overview

0.26s
Total Load Time
272 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:169 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content37% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
37%
news media journalism
31%
government public service
27%
phishing scam
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1213.13.145.114Porto, Porto, Portugal
AS3243Servicos De Comunicacoes E Multimedia S.A.
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1142.251.110.99Google · CDNUnited States
AS15169Google LLC
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1413--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17632D98168F51452213390B83AFBE70C3AA1C40B9D4ACD54B1FC79985FD9F5AB8736C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:s29UaYSFSFDF3FDFbzFl3FQAw41CU8GIMPtxOq6x7doLGx4CM85xjqgh:51fFSFDF3FDFnFxFzwidvSyCM850gh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11792:bSADANXCYMKF4UTK4iQIwmggRLLioDaIRHIARCiAYBUWCpKGrhCM6AZCRZQlQFhBmFRcQASMAcJABBCqgcuUCxbJloFJkATR

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:1838381800000000
Perceptual Hash:cccc33336664d933
Difference Hash:32b2b2b24c300000
Wavelet Hash:1838383800300000
Color Hash:#7995d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data