Security Scan Report: oboticario-revenda.vercel.app

Submitted: Jul 3, 2026, 2:52:12 AMCompleted: Jul 3, 2026, 2:56:44 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 oboticario-revenda.vercel.app and was registered NaN years ago.

Submitted URL: https://oboticario-revenda.vercel.app/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows no malicious indicators and only low‑risk factors; it is classified as low risk.

Risk Factors
Domain age unknown (subdomain on hosting platform)
Unranked in Cisco Umbrella
Safety Factors
Self‑branding aligns with domain
No forms or data collection elements
No malicious JavaScript or external requests
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

You're looking at domain 'oboticario-revenda.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'oboticario-revenda'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. It segments into 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oboticario-revenda.vercel.app/

Page Load Overview

8.14s
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:783 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
53%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131United 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

T1248193377B69211AF333C89FA0C26B993010A121D1ABDAB9FF579F15D5CA1661E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMgfPp:TGRe91n5O6Yp63XKk1Vr3hgHfRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDAAAIUwAAAkgcCCEGAgECQEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000180e040000
Wavelet Hash:fcfcfcc003033333
Color Hash:#852dd2

Other Hashes

Crop Resistant:000000180e040000

Scan History

Scan history not available

Unable to load historical scan data