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Security Scan Report: vivas-cam.vercel.app

Submitted: Dec 16, 2025, 2:14:19 PMCompleted: Dec 16, 2025, 2:15:05 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 7 domains to perform 44 HTTP transactions. The main domain is vivas-cam.vercel.app and was registered NaN years ago.

Submitted URL: https://vivas-cam.vercel.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security threats detected; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Unranked but no other suspicious signals
Domain age information unavailable

Details

Page Title

Viva Sorte

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

gambling betting

(41%)

Domain Information

The domain 'vivas-cam.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'vivas-cam'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vivas-cam.vercel.app/

Page Load Overview

6.11s
Total Load Time
44
HTTP Requests
7
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:1,626 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

gambling betting
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2216.198.79.67United States
AS16509AMAZON-02
2172.67.68.221United States
AS13335CLOUDFLARENET
264.29.17.67United States
AS16509AMAZON-02
2142.250.184.234United States
AS15169GOOGLE
2195.177.94.253Paris, Île-de-France, France
AS214961Stellar Group SAS
2142.250.186.163United States
AS15169GOOGLE
22606:4700:20::681a:bcdUnited States
AS13335CLOUDFLARENET
22606:4700:20::681a:acdUnited States
AS13335CLOUDFLARENET
4417--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF72072C99D13062127320D6AE975A0A3ED4D10BAC77EE5474DC8BB03FC5CD64CA7A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:icZWrK+cZWrKCRRXyzJR7iwa93oNN2ZClERf2upwDF3+:h4r+4rtuz6rpwDFu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17483:IZ0AkcoYAkCYIQiAYsAJgwMkWakuKc4YCgdAoAkAQDADz5/lmEFkxkQTkg4ACOEAiJgCLwQNiUAaEILNMQSENAJoAMaAM4YU

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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