Summary
This website contacted 9 IPs in 2 countries across 9 domains to perform 73 HTTP transactions. The main domain is philippinenews.com and was registered NaN years ago.
Submitted URL: https://www.philippinenews.com/covered-california-urges-californians-to-sign-up-for-health-insurance-before-december-31-deadline/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Covered California urges Californians to sign up for health insurance before December 31 deadline
Scan Type
public
Language
English
Category
healthcare medical
(51%)Domain Information
The domain 'www.philippinenews.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'philippinenews' stretches across 14 characters holding 5 vowels versus 9 consonants. It segments into two words: philippine, news. The median word length lands at seven 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 |
|---|---|---|---|
| 12 | 142.250.186.138 | Germany | |
| 6 | 148.163.121.28 | Phoenix, Arizona, United States | AS53755IOFLOOD |
| 6 | 104.21.2.81 | Germany | |
| 6 | 104.20.20.192 | United States | AS13335CLOUDFLARENET |
| 6 | 172.66.171.172 | United States | AS13335CLOUDFLARENET |
| 6 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 172.217.23.99 | Germany | Unknown |
| 6 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 91.107.200.10 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 60 | 9 | - | - |
Detected Technologies9
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
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