Security Scan Report: fbsoporte.vercel.app

Redirected to:
https://fbsoporte.vercel.app/
Submitted: Sep 10, 2026, 1:45:15 PMCompleted: Sep 10, 2026, 1:46:39 PMpubliccompleted

This website contacted 3 IPs in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is fbsoporte.vercel.app and was registered 6 years ago.

Submitted URL: http://fbsoporte.vercel.app/

Effective URL:

https://fbsoporte.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page impersonates Facebook login, collects credentials on an unknown, unranked subdomain – high risk of phishing.

Risk Factors
Brand impersonation on unranked domain
Credential collection via login form
Unknown subdomain creation date
Domain age information unavailable

Details

Page Title

Iniciar sesión en Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'fbsoporte.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'fbsoporte'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Splitting it apart reveals two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://fbsoporte.vercel.app/

Page Load Overview

0.69s
Total Load Time
537 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:576 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

social media network
99%
technology software
59%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.195United States
AS16509Amazon.com, Inc.
264.29.17.67United States
AS16509Amazon.com, Inc.
2216.198.79.67United States
AS16509Amazon.com, Inc.
73--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19261DB6554FB8BB641B3C0D365DB6F076CE08927E2AA450072EE8B851FECF497947078

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:gro66osRAjM5/eoQ0yGa3AAvaaWyJX5oRVYpsA54Etd:groFNbmhftJXiYpse4y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3413:0AAAAUoABQIIEoBGJAAYEEACCAAAQIkQDECAAIAAAAAACAAFoBEgCAqIACYCgsAIggICSABAACABAACUQCAEECQBiUgAIGCA

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:ffcf898b8f9fbfbf
Perceptual Hash:bc78c3c687c34e1c
Difference Hash:5236333330347068
Wavelet Hash:b38a808a8e9e1f3f
Color Hash:#1f9363

Scan History

Scan history not available

Unable to load historical scan data