Summary
API
This website contacted 22 IPs in 4 countries across 15 domains to perform 114 HTTP transactions. The main domain is cyberpress.org and was registered 23 years ago.
Submitted URL: https://cyberpress.org/microsoft-azure-faces-global-outage-impacting-services-worldwide/
AI Security Verdict
High Risk
Confidence: 92%
Phishing site impersonating Microsoft with credential‑harvesting login form.
Risk Factors (3)
Details
Page Title
Microsoft Azure Faces Global Outage Impacting Services Worldwide
Scan Type
public
Domain Name Analysis
The domain 'cyberpress.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The core label 'cyberpress' covers 10 characters with two vowels and 8 consonants. Breaking it apart gives 2 words: cyber, press. Average segment length settles at 5 characters. 'cyber' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Indonesian. Net impression: English phrase.
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 |
|---|---|---|---|
| 9 | 104.21.95.116 | United States | AS13335CLOUDFLARENET |
| 5 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 172.67.144.188 | United States | AS13335CLOUDFLARENET |
| 5 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 151.101.8.159 | Brussels, Brussels Capital, Belgium | AS54113FASTLY |
| 5 | 142.250.186.74 | United States | AS15169GOOGLE |
| 5 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 5 | 216.58.206.65 | United States | AS15169GOOGLE |
| 5 | 151.101.8.157 | Brussels, Brussels Capital, Belgium | AS54113FASTLY |
| 5 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 114 | 22 | - | - |
Detected Technologies13
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