Security Scan Report: www.sesimates01270720.vercel.app

Redirected to:
https://sesimates01270720.vercel.app/
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Submitted: Sep 30, 2026, 1:45:20 PMCompleted: Sep 30, 2026, 1:46:14 PMpubliccompleted

This website contacted 20 IPs in 3 countries across 14 domains to perform 18 HTTP transactions. The main domain is sesimates01270720.vercel.app and was registered 14 years ago.

Submitted URL: http://www.sesimates01270720.vercel.app/

Effective URL:

https://sesimates01270720.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Facebook credential-phishing page on a vercel.app subdomain: it fakes a Facebook re-login lure and sends the victim's email and password to an external PHP endpoint (marines.materiales.site/pasta.php). Do not enter credentials.

Risk Factors (5)
Facebook brand impersonation on a mismatched, unranked host
Credential form with password field exfiltrating to external domain (marines.materiales.site/pasta.php)
Hidden password field not rendered to the user
Deceptive 'account flagged / re-login' phishing lure aimed at harvesting Facebook credentials
Unranked hosting-platform subdomain with unknown age and IDS abuse-host alerts
Domain age information unavailable

Details

Page Title

ssesioon de foottoooss

Scan Type

public

Domain Name Analysis

Domain 'www.sesimates01270720.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.sesimates01270720'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Splitting it apart reveals 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.sesimates01270720.vercel.app/

Page Load Overview

1.63s
Total Load Time
457 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:189 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
94%
phishing scam
56%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.97Google · CDNUnited States
AS15169Google LLC
0195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0172.67.71.57Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.113Google · CDNUnited States
AS15169Google LLC
0104.20.41.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.70.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1820--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8624C4B9DC64443900394A467F7AB0C2E7AE507E50ACD6E3AEC37946FC1BE6449339C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:bpnn1NNuMMFDAC0n3pYiPJeGUf277cdhcIGO5tlR/enXJPc/6+Kkemh+cMhs:N1zMF9MTBnpi6+KtHcOs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14617:e4AFA6UNBzaEQg6RWBgASCgAOCKEXLCWkCEAJQiMOHwMYcfDUgMMkYkAIK6A8IUCSoSGwjACDHQgCAZKGyooAKQIYTEwJJHQ

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:d9d922222677dd89
Difference Hash:4cb232100c100000
Wavelet Hash:e7ffffff00000000
Color Hash:#865c2d

Scan History

Scan history not available

Unable to load historical scan data