Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is stellar-allowance.vercel.app and was registered 6 years ago.
Submitted URL: https://stellar-allowance.vercel.app/
AI Security Verdict
Low Risk
Confidence: 72%
Self-branded Stellar/Soroban testnet demo on a vercel.app subdomain. No forms, no credential or payment collection, no Indicators of Compromise, YARA, or Safe Browsing hits. IDS alerts are generic hosting-platform abuse reputation only. Low risk.
Safety Factors
Details
Page Title
Stellar Allowance
Scan Type
public
Domain Name Analysis
The domain name 'stellar-allowance.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'stellar-allowance'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at 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 |
|---|---|---|---|
| 10 | 216.198.79.67Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 10 | 64.29.17.67Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 20 | 2 | - | - |
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data