Summary
This website contacted 2 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is az-partners.net and was registered 8 years ago.
Submitted URL: https://az-partners.net
Effective URL:
AI Security Verdict
Safe Website
Confidence: 78%
The site shows its own brand, has no forms or malicious indicators, and is well‑established – classified as legitimate.
Safety Factors
Details
Page Title
Software monetization platform | AZPartners
Scan Type
public
Language
English
Category
technology software
(68%)Domain Information
The domain name 'az-partners.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The core label 'az-partners' covers 11 characters containing 3 vowels alongside 7 consonants; it also includes one hyphen. It segments into 2 words: az, partners. The median word length lands at five 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 |
|---|---|---|---|
| 21 | 188.130.153.32 | Novosibirsk, Novosibirsk Oblast, Russia | AS204846Rostpay Ltd |
| 20 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 41 | 2 | - | - |
Page Statistics
Detected Technologies5
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