Security Scan Report: www.losmaterilles0542045.vercel.app

Redirected to:
https://losmaterilles0542045.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 11 domains to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.losmaterilles0542045.vercel.app/

Effective URL:
https://losmaterilles0542045.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Facebook-lookalike phishing page on a free vercel.app subdomain that harvests email/phone and password and posts them cross-origin to marines.materiales.site/pasta.php using a fake adult-content warning.

Risk Factors (6)
Brand impersonation of Facebook on a non-Facebook domain
Credential-harvesting login form (email/phone + password)
Form action points off-origin to marines.materiales.site/pasta.php — credential exfiltration pattern
Deceptive adult-content warning used as a pretext to force re-authentication
Obfuscated/evasive page title and Open Graph text ('L1staa de foo7os', 'encuentr0, fotoossss')
Network IDS flagged abused cloud hosting service usage (vercel.app in DNS/TLS SNI)
Domain age information unavailable

Details

Page Title

L1staa de foo7os

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.losmaterilles0542045.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'www.losmaterilles0542045'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.losmaterilles0542045.vercel.app/

Page Load Overview

6.01s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:213 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
99%
adult content
93%
phishing scam
49%
documentation technical
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.20.132Google · CDNUnited States
AS15169Google LLC
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.26.5.7Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.20.41.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.70.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.15.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1520--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137623A4A9FCD04055007809865B69AD92A7FD713A10A5CAF7DBD32B47FC9BFD015235C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Dxwziob0E7cJxLGUf2SWepiFIGO5tlR/enXJPc/6+Kkemh+cMhn:DxwzcfYlFBnpi6+KtHcOn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14894:gQAEhhgqUViRAEQAyjCWGYxJcAlFNq1gAvFAUEdhhAJmBbJCSAgAgewMBbiE6AKFUCT6QIkJ0AMRLAwwdKqVogCJAJRhAjcb

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:0018181800000000
Perceptual Hash:dccc227676668ccc
Difference Hash:4c32b2144c300000
Wavelet Hash:20383c3ce4fc3c3c
Color Hash:#40bf82

Scan History

Scan history not available

Unable to load historical scan data