Summary
This website contacted 11 IPs in 2 countries across 11 domains to perform 46 HTTP transactions. The main domain is bundle-admin.vercel.app and was registered NaN years ago.
Submitted URL: https://bundle-admin.vercel.app/plans
AI Security Verdict
Low Risk
Confidence: 70%
Site shows no malicious activity but subdomain age is unknown, treat as low risk
Risk Factors
Safety Factors
Details
Page Title
Bundle Admin - Plans
Scan Type
public
Language
English
Category
technology software
(43%)Domain Information
You're looking at domain 'bundle-admin.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'bundle-admin'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to 3 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 | 20.60.1.68 | San Jose, California, United States | AS8075Microsoft Corporation |
| 4 | 76.223.124.176 | United States | AS16509Amazon.com, Inc. |
| 4 | 5.78.100.254 | Hillsboro, Oregon, United States | AS212317Hetzner Online GmbH |
| 4 | 144.161.77.234 | United States | AS797AT&T Services, Inc. |
| 4 | 172.67.185.51 | United States | |
| 4 | 172.67.163.187 | United States | |
| 4 | 104.26.13.204 | United States | AS13335Cloudflare, Inc. |
| 4 | 23.37.53.7 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 4 | 23.45.106.87 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 4 | 18.66.102.72 | United States | AS16509Amazon.com, Inc. |
| 44 | 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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