Summary
This website contacted 11 IPs in 3 countries across 14 domains to perform 2 HTTP transactions. The main domain is oralivos.pages.dev and was registered NaN years ago.
Submitted URL: https://oralivos.pages.dev/posts/kumkum-bhagya-27-february-2021-promo/
AI Security Verdict
Low Risk
Confidence: 78%
The site hosts non‑malicious content with no credential collection; low risk despite unknown subdomain age.
Risk Factors
Safety Factors
Details
Page Title
Kumkum Bhagya 27 February 2021 Promo - Kumkum bhagya 26 february 2021 kumkum bhagya full episode. - Evoliaro
Scan Type
public
Language
English
Category
education learning
(62%)Domain Information
The domain name 'oralivos.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'oralivos'. Count 5 characters in 'pages' holding 2 vowels versus 3 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 |
|---|---|---|---|
| 7 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 2.16.10.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.14.119Google · CDN | United States | AS15169Google LLC |
| 4 | 172.67.201.109Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 4 | 65.8.131.122Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 4 | 2.16.206.21 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 4 | 23.111.84.124 | Netherlands | AS7979Servers.com, Inc. |
| 47 | 11 | - | - |
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