Summary
This website contacted 11 IPs in 2 countries across 11 domains to perform 47 HTTP transactions. The main domain is bundle-admin.vercel.app and was registered NaN years ago.
Submitted URL: https://bundle-admin.vercel.app/
Effective URL: https://bundle-admin.vercel.app/plansRedirected
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate site with no apparent malicious activity.
Safety Factors
Details
Page Title
Bundle Admin - Plans
Scan Type
public
Language
English
Category
technology software
(43%)Domain Information
Within the application-focused generic top-level domain (.app), 'bundle-admin.vercel.app' is registered with subdomain 'bundle-admin'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Expect three characters per word on average. 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 |
|---|---|---|---|
| 13 | 20.60.1.68 | San Jose, California, United States | AS8075Microsoft Corporation |
| 5 | 172.67.185.51 | United States | AS13335Cloudflare, Inc. |
| 4 | 18.66.102.72 | United States | AS16509Amazon.com, Inc. |
| 4 | 144.160.125.207 | Frisco, Texas, United States | AS797AT&T Services, Inc. |
| 4 | 104.21.34.186 | United States | AS13335Cloudflare, Inc. |
| 4 | 76.223.124.176 | United States | AS16509Amazon.com, Inc. |
| 4 | 104.26.12.204 | United States | AS13335Cloudflare, Inc. |
| 4 | 216.198.79.195 | United States | AS16509Amazon.com, Inc. |
| 4 | 5.78.100.254 | Hillsboro, Oregon, United States | AS212317Hetzner Online GmbH |
| 1 | 23.45.106.87 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 45 | 11 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
Other Hashes
Scan History
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