Summary
This website contacted 24 IPs in 4 countries across 26 domains to perform 2 HTTP transactions. The main domain is jesadonik.pages.dev and was registered NaN years ago.
Submitted URL: https://jesadonik.pages.dev/post/blood-on-call-104/
AI Security Verdict
Low Risk
Confidence: 85%
The site shows only informational health content, lacks credential or payment forms, and has no malicious indicators; it is assessed as low risk.
Safety Factors
Details
Page Title
Blood On Call 104 : People can dial 104 to. - Kesandung
Scan Type
public
Language
English
Category
healthcare medical
(51%)Domain Information
The domain name 'jesadonik.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'jesadonik'. The registrable portion 'pages' spans 5 characters with two vowels and three consonants. Word splitting yields 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 |
|---|---|---|---|
| 7 | 192.178.170.95Google · CDN | United States | AS15169Google LLC |
| 2 | 168.119.26.202 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 2 | 192.185.129.159 | United States | AS46606Unified Layer |
| 2 | 157.90.187.181 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 2 | 172.66.47.51Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 172.240.127.234 | United States | AS7979Servers.com, Inc. |
| 2 | 142.251.110.132Google · CDN | United States | AS15169Google LLC |
| 2 | 3.5.210.192Aws · CLOUD | Mumbai, Maharashtra, India | AS16509Amazon.com, Inc. |
| 2 | 35.190.43.188Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 2 | 93.191.49.210 | Germany | AS38927Net-Build GmbH |
| 53 | 24 | - | - |
Page Statistics
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