Security Scan Report: msn-lime.vercel.app

Redirected to:
https://msn-lime.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 3 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://msn-lime.vercel.app/

Effective URL:
https://msn-lime.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Microsoft "terms update" sign-in hosted on a throwaway vercel.app subdomain, flagged by Safe Browsing for social engineering, forwarding to a second phishing subdomain (20260utlookmsn) — phishing funnel.

Risk Factors (5)
Brand impersonation of Microsoft on an unrelated domain
Google Safe Browsing social-engineering detection
Cross-origin form submission to a second suspicious vercel.app subdomain
Multi-step sign-in funnel used to advance victims toward a credential prompt
Unknown-age, unranked shared-hosting subdomain
Domain age information unavailable

Details

Page Title

Iniciar

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'msn-lime.vercel.app' is registered, featuring subdomain 'msn-lime'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. It segments into two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Estamos actualizando nuestros terminos Como parte de nuestros esfuerzos por mejorar su experiencia con Microsoft, queremos informarte de que se actualizo el contrato de servicios de Microsoft iguien...

Page Load Overview

15.28s
Total Load Time
62 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:219 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
41%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1142.251.127.94Google · CDNUnited States
AS15169Google LLC
118--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B4120D39CE30886A2036198B2C7B90927D5D903921ADC1077BD527A8F89B99C4BB75D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:A84Mwe40PYmDnvYDGR3g3itqr1EvobD6/UceaMpHN7:R4Mx40xwStqryvo6cccpt7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1929:EAAACAASAAECEEAhAAACBABCQgAIAAIABAEABAAEAQAAgEAEIgABAAlAAAAAAEAAAAgACAIAkCACJgAAJAAAQACQQgAABAgA

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:f0f8fc9abd250d3f
Perceptual Hash:c3dc40669d3966d9
Difference Hash:e2b0b03a698dd9d8
Wavelet Hash:f0f8dc18b9011d3f
Color Hash:N/A

Other Hashes

Crop Resistant:e2b0b03a698dd9d8

Scan History

Scan history not available

Unable to load historical scan data