Summary
This website contacted 9 IPs in 3 countries across 9 domains to perform 28 HTTP transactions. The main domain is combokitlimpeza.vercel.app and was registered NaN years ago.
Submitted URL: https://combokitlimpeza.vercel.app/
AI Security Verdict
Safe Website
Confidence: 82%
The site shows no malicious indicators and appears legitimate.
Safety Factors
Details
Page Title
Verificação de Segurança
Scan Type
public
Language
Portuguese
Category
government public service
(29%)Domain Information
The domain name 'combokitlimpeza.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'combokitlimpeza'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Breaking it apart gives 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 172.67.68.221Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 3.64.223.116Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 3 | 52.184.215.111Azure · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 3 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 3 | 216.198.79.67 | United States | AS16509Amazon.com, Inc. |
| 3 | 64.29.17.67 | United States | AS16509Amazon.com, Inc. |
| 3 | 104.26.10.205Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 104.26.13.205Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 150.171.109.53Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 28 | 9 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data