Security Scan Report: 78830848634.vercel.app

Redirected to: https://347859856785784.netlify.app/

Submitted: Oct 11, 2025, 11:56:06 PMCompleted: Oct 11, 2025, 11:57:11 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 4 domains to perform 12 HTTP transactions. The main domain is 347859856785784.netlify.app and was registered NaN years ago.

Submitted URL: https://78830848634.vercel.app/

Effective URL: https://347859856785784.netlify.app/Redirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Bienvenidos

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

cryptocurrency blockchain

(55%)

Domain Information

Domain '78830848634.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain '78830848634'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. 'ver' most often appears in Portuguese. Secondary signals appear in Portuguese (Brazil) and Galician. Taken together, it feels Portuguese.

Screenshot

Security scan screenshot of https://78830848634.vercel.app/

Page Load Overview

16.14s
Total Load Time
12
HTTP Requests
4
Domains
389 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:96 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain55% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
55%
finance banking
43%
adult content
42%
technology software
39%
social media network
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.131United States
AS16509AMAZON-02
02.21.239.8Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
0216.198.79.131United States
AS16509AMAZON-02
02a04:4e42:200::649United States
AS54113FASTLY
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
02.21.239.9Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
1216--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AFF1771B69E310526903B0F83FFBA6093592E107C349CC583EDD63988F86A588D677D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UrxjtUKAV+5ASoowZUeJjSC9W9P//7sImgiRnhrr:UrR2KAeWGCe9whRnN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7851:SAPwFJEAQEFAEdOHBiOhIAAMEhSpEoGzIAkGwKTFziBWFuIAQJsDEAu7ykSpDQCIkMiImGCAFJAEYCg2AgGIhCI2Bw1AikGQ

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:00f3f3f3f3ffffff
Perceptual Hash:ec6c1b1b1b131b1b
Difference Hash:3626666666190600
Wavelet Hash:0030303030303c3c
Color Hash:#87abc5

Scan History

Scan history not available

Unable to load historical scan data