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LIMITED DATA

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Security Scan Report: bancode-loja-activacion-com.vercel.app

Redirected to:
https://lojalvaiols.webcindario.com/
Submitted: Sep 25, 2026, 11:50:56 AMCompleted: Sep 25, 2026, 11:53:03 AMpubliccompleted

This website contacted 3 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is lojalvaiols.webcindario.com and was registered 25 years ago.

Submitted URL: https://bancode-loja-activacion-com.vercel.app/

Effective URL:

https://lojalvaiols.webcindario.com/
Redirected

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Domain Name Analysis

Domain 'bancode-loja-activacion-com.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'bancode-loja-activacion-com'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Word splitting yields two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bancode-loja-activacion-com.vercel.app/

Page Load Overview

7.00s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Text Length:79 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
cryptocurrency blockchain
58%
news media journalism
50%
real estate property
47%
documentation technical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
43--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148C08C3A41E21519B5E7B7E8288537403D90400D43465C026909E9888E08ED9E68FB82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxAvNXFnEznmS13J5AEtvxL//4tznmS1pH/P+gXa4Fxt3EhJQQkiFOQRLtOb4z:qzxAY1AEdxsLzuSaIxt0Fi4z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:98655c068193b0e9e839e663af4abddb

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#79d2b2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data