Security Scan Report: esfera-hill-criterio-estabilidad.vercel.app

Redirected to:
https://esfera-hill-criterio-estabilidad.vercel.app/home
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Submitted: Sep 22, 2026, 1:45:41 PMCompleted: Sep 22, 2026, 1:46:46 PMpubliccompleted

This website contacted 9 IPs in 2 countries across 7 domains to perform 60 HTTP transactions. The main domain is esfera-hill-criterio-estabilidad.vercel.app and was registered 29 years ago.

Submitted URL: https://esfera-hill-criterio-estabilidad.vercel.app/

Effective URL:

https://esfera-hill-criterio-estabilidad.vercel.app/home
Redirected

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Fake Meta account-violation page on a Vercel subdomain, copying Meta branding and copyright with 'account will be disabled' scare copy. No credential form captured, but a classic phishing lure — do not interact.

Risk Factors (4)
Impersonation of Meta (a different entity's brand) on a mismatched, unranked domain
Urgent account-disabling / 'action required' scare language typical of phishing lures
Reproduction of Meta's Help Centre content and branding without affiliation
Deployed on an anonymous free hosting subdomain (.vercel.app)
Domain age information unavailable

Details

Page Title

User Case Workspace

Scan Type

public

Domain Name Analysis

The domain 'esfera-hill-criterio-estabilidad.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'esfera-hill-criterio-estabilidad'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Tokenizing the label suggests 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 https://esfera-hill-criterio-estabilidad.vercel.app/

Page Load Overview

4.20s
Total Load Time
460 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,225 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical29% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
29%
government public service
28%
corporate business
28%
social media network
27%
adult content
25%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6142.251.110.113Google · CDNUnited States
AS15169Google LLC
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6142.251.110.138Google · CDNUnited States
AS15169Google LLC
6142.251.20.94Google · CDNUnited States
AS15169Google LLC
6142.251.14.95Google · CDNUnited States
AS15169Google LLC
6142.251.110.94Google · CDNUnited States
AS15169Google LLC
6172.217.114.4Google · CDNUnited States
AS15169Google LLC
609--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC04455CFB48C17B39269ADD8045B81CDE0F14ABCACC25D9D04D7BB1B49B678233A762

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vPtvcAxtB6SdUlwdB6SHUlwdB6STcj7hhLyhvjNJUDkrkr8HTlPtll9Lemc8JOoX:H6SH6SF6Sv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:181190:QNMr8ZNwODiRQJkxQpZEDEA1oBwAiAAgMQakQfyIUtES4KJBIH4TQUgQoQ6iAMAADSIwi2DAqwWiU6KHa1BCMoAyRyQOh3AE

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:7f7f7f7f7f3f3f3f
Perceptual Hash:80ff22f098ff3660
Difference Hash:808088b090e8c0e0
Wavelet Hash:7c7c787858080c0c
Color Hash:#40931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data