Summary
API
Submitted URL: https://relpiset.pages.dev/post/taati-munjalu-in-usa/
AI Security Verdict
Moderate Risk
Confidence: 55%
Low-quality scraped content farm on a free pages.dev subdomain. No forms harvesting data, no brand impersonation, no threat-intel or malware hits; risk is limited to SEO spam and absent reputation.
Risk Factors (2)
Safety Factors (4)
Details
Page Title
Taati Munjalu In Usa - Summer dessert recipes with fruits like nungu are refreshing. - Zippler
Scan Type
public
Domain Name Analysis
The domain 'relpiset.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'relpiset'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus three consonants. Word splitting yields one word: pages. The median word length lands at five 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 | 172.66.47.49Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 1 | 15.197.212.58Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 1 | 192.178.183.119Google · CDN | United States | AS15169Google LLC |
| 1 | 185.15.59.240 | United States | AS14907Wikimedia Foundation Inc. |
| 1 | 23.194.190.151Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.251.20.132Google · CDN | United States | AS15169Google LLC |
| 1 | 195.250.26.22 | Buffalo, New York, United States | AS14670WHG Hosting Services Ltd |
| 1 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 1 | 216.150.16.129Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 42 | 33 | - | - |
Detected Technologies8
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