Summary
This website contacted 14 IPs in 3 countries across 19 domains to perform 2 HTTP transactions. The main domain is app-apollo.vercel.app and was registered NaN years ago.
Submitted URL: https://app-apollo.vercel.app/site/labXCZRXd0HUGfLKa8V8
AI Security Verdict
Low Risk
Confidence: 80%
The site shows no malicious indicators, contains no credential forms, and is low risk despite an unranked subdomain and a medium IDS alert.
Risk Factors
Safety Factors
Details
Page Title
app-apollo.vercel.app
Scan Type
public
Language
English
Category
technology software
(78%)Domain Information
Domain 'app-apollo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'app-apollo'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at 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 |
|---|---|---|---|
| 1 | 150.171.109.194Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 0 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 0 | 64.29.17.3 | United States | AS16509Amazon.com, Inc. |
| 0 | 146.75.120.157Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 0 | 162.159.140.229Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 23.53.40.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 142.251.14.102Google · CDN | United States | AS15169Google LLC |
| 0 | 150.171.28.10Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 0 | 142.251.14.154Google · CDN | United States | AS15169Google LLC |
| 1 | 14 | - | - |
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
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