Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is crunchmilk.pages.dev and was registered NaN years ago.
Submitted URL: https://crunchmilk.pages.dev/fill-dirt-calculator/
AI Security Verdict
Low Risk
Confidence: 78%
The site shows no phishing, malware, or credential‑stealing behavior and is classified as low risk.
Risk Factors
Safety Factors
Details
Page Title
Fill Dirt Calculator
Scan Type
public
Language
English
Category
documentation technical
(37%)Domain Information
Domain 'crunchmilk.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'crunchmilk'. The core label 'pages' covers 5 characters containing two vowels alongside three consonants. Segmentation suggests 1 word: pages. 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 | 172.66.44.197 | United States | AS13335Cloudflare, Inc. |
| 4 | 142.251.13.95 | United States | AS15169Google LLC |
| 4 | 142.251.110.94 | United States | AS15169Google LLC |
| 4 | 142.250.154.156 | United States | AS15169Google LLC |
| 18 | 4 | - | - |
Detected Technologies5
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
Scan history not available
Unable to load historical scan data