Summary
This website contacted 26 IPs in 2 countries across 10 domains to perform 94 HTTP transactions. The main domain is pedropascal.org and was registered NaN years ago.
Submitted URL: https://pedropascal.org/pedro-pascal/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate fan site with no security concerns.
Safety Factors
Details
Page Title
PEDRO PASCAL ONLINE | » Pedro Pascal
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
Domain 'pedropascal.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The second-level label 'pedropascal' is 11 characters long holding 4 vowels versus seven consonants. Tokenizing the label suggests 2 words: pedro, pascal. Average segment length settles at 5.5 characters. 'pedro' most often appears in Vietnamese. Secondary signals appear in Danish and German.
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 |
|---|---|---|---|
| 19 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 94.130.239.56 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 3 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 142.250.184.234 | United States | AS15169GOOGLE |
| 3 | 172.237.146.38 | Chicago, Illinois, United States | AS63949Akamai Connected Cloud |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 142.250.186.163 | United States | AS15169GOOGLE |
| 3 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 94 | 26 | - | - |
Detected Technologies10
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
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