Summary
This website contacted 11 IPs in 1 country across 8 domains to perform 2 HTTP transactions. The main domain is stasht.app and was registered 6 years ago.
Submitted URL: https://stasht.app/blog/labor-day-in-nyc-ultimate-guide
AI Security Verdict
Safe Website
Confidence: 92%
The page is a legitimate blog article with no phishing, malware, or scam indicators.
Safety Factors
Details
Page Title
Labor Day Parade NYC 2026: Route, Times & Weekend Guide | Stasht Blog
Scan Type
public
Language
English
Category
adult content
(38%)Domain Information
The domain name 'stasht.app' uses the application-focused generic top-level domain (.app) without a subdomain. Count 6 characters in 'stasht' holding one vowel versus 5 consonants. Segmentation suggests two words: stash, t. 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 |
|---|---|---|---|
| 6 | 216.150.1.1 | United States | AS16509Amazon.com, Inc. |
| 3 | 172.66.166.164Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 99.84.152.99Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 3 | 99.84.152.40Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 99.84.152.95Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 3.41.202.152Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 3 | 18.244.18.78Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 3 | 104.20.17.167Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 36 | 11 | - | - |
Page Statistics
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data