Security Scan Report: www.materialines2542542452.vercel.app

Redirected to:
https://materialines2542542452.vercel.app/
Site favicon
Submitted: Sep 17, 2026, 1:45:18 PMCompleted: Sep 17, 2026, 1:46:46 PMpubliccompleted

This website contacted 18 IPs in 3 countries across 14 domains to perform 18 HTTP transactions. The main domain is materialines2542542452.vercel.app and was registered 14 years ago.

Submitted URL: http://www.materialines2542542452.vercel.app/

Effective URL:

https://materialines2542542452.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Facebook login on a vercel.app subdomain that harvests email/phone and password and exfiltrates them to marines.materiales.site, using a salacious-content pretext. Definitive credential phishing.

Risk Factors (5)
Brand impersonation of Facebook on a non-official, unranked domain
Cross-origin credential form harvesting password + email/phone to a separate domain
Hidden password field not rendered in the visible UI
Sensational adult-content pretext used to pressure victims into re-entering credentials
Network IDS alerts for abused cloud hosting (vercel.app) and .cc TLD queries
Domain age information unavailable

Details

Page Title

seesioon de foootooss

Scan Type

public

Domain Name Analysis

The domain name 'www.materialines2542542452.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.materialines2542542452'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.materialines2542542452.vercel.app/

Page Load Overview

43.48s
Total Load Time
845 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:187 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

social media network
99%
adult content
86%
forum community discussion
69%
phishing scam
55%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.127.97Google · CDNUnited States
AS15169Google LLC
1195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1172.67.71.57Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1818--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11771856F6D4748463107A5647BFBA24862AA8007950ACD777FAC3394CF813A68873B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:e7QsxJPkq85tvpdCYbMOUIu4GWzgHtFcesK4n4gza4n42z74YqhW4XBwjzvJqd4v:ZpdnvXBbNuM0tFDAC0n3uWYiHvJv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3726:iYABCAgIBEAYAQgAAAAQAFBAAAEuQAMAA0CAgABGAKAKBDBIAAAAEggAilERBAQAAIgGAgAgAxIDARAEAACAAoIAACAgEQTA

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:9999666666339999
Difference Hash:4cb2b2100c100000
Wavelet Hash:273f3f3f00000000
Color Hash:#bc79d2

Scan History

Scan history not available

Unable to load historical scan data