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Security Scan Report: ultimasemanafeiraonovo.vercel.app

Submitted: Dec 11, 2025, 11:09:39 PMCompleted: Dec 11, 2025, 11:10:26 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ultimasemanafeiraonovo.vercel.app and was registered NaN years ago.

Submitted URL: https://ultimasemanafeiraonovo.vercel.app/atendimento?utm_source=organic&utm_campaign&utm_medium&utm_content&utm_term&xcod&sck&cpf=05669770528

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No suspicious content or forms
Domain age information unavailable

Details

Page Title

ultimasemanafeiraonovo.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

You're looking at domain 'ultimasemanafeiraonovo.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ultimasemanafeiraonovo'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ultimasemanafeiraonovo.vercel.app/atendimento?utm_source=organic&utm_campaign&utm_medium&utm_content&utm_term&xcod&sck&cpf=05669770528

Page Load Overview

8.21s
Total Load Time
3
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:795 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
50%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3United States
AS16509AMAZON-02
1216.198.79.3United States
AS16509AMAZON-02
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104048F77329A063986558498E05B830D9F21B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Oldy:VhoC9JSqzzbs6o3Sj3gcrso2eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187538:owcWtgAAFkgRyswAIAgElCIJGIqpwTFygkBJhI3gAGAKWgjoR1MQGpBY4QpgAAAKUESgFSaEgiAPCGwBEPzTIgDZAcAyGCAF

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:b1339acccc933365
Difference Hash:00181c1616000000
Wavelet Hash:3f1f0707003c3030
Color Hash:#a9d22d

Other Hashes

Crop Resistant:00181c1616000000

Scan History

Scan history not available

Unable to load historical scan data