Security Scan Report: picpay-roleta.vercel.app

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Submitted: Jul 3, 2026, 4:52:03 AMCompleted: Jul 3, 2026, 4:53:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is picpay-roleta.vercel.app and was registered NaN years ago.

Submitted URL: https://picpay-roleta.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk – no malicious indicators detected; likely a benign site on a Vercel subdomain.

Risk Factors
Domain age unknown (subdomain on hosting platform)
Domain unranked in Cisco Umbrella
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript behavior
No external links or resources flagged
Domain age information unavailable

Details

Page Title

picpay-roleta.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

You're looking at domain 'picpay-roleta.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'picpay-roleta'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Breaking it apart gives 2 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://picpay-roleta.vercel.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
54%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.67United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC048F77329A0639865584A8F05B43099F20B143F50AC97C79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:r/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPG2bMy8Oldn:shoC9JSqzzbs6okSjggcpsu2eAh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187951:QoCoClESACJGyVkAwKIUijyBTKKIgIVANvMV8faMVCnBw0IASRFwFBoogKoQYC0WOg5FQgONIIQQUA2iIAFEiBK0BgBlOTc4

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:ffdfc3c300303030
Color Hash:#862d55

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data