Summary
API
This website contacted 4 IPs in 2 countries across 15 domains to perform 59 HTTP transactions. The main domain is ordinex.net and was registered 18 years ago.
Submitted URL: https://ordinex.net
Effective URL:
AI Security Verdict
High Risk
Confidence: 78%
Critical IDS malware alert and abuse reputation flag the site as high‑risk despite self‑branding and no credential forms.
Risk Factors
Details
Page Title
Accueil - Ordinex
Scan Type
public
Domain Name Analysis
The domain 'ordinex.net' uses the network infrastructure generic top-level domain (.net) while skipping any subdomain. The registrable portion 'ordinex' spans 7 characters holding three vowels versus four consonants. Word splitting yields 4 words: or, d, in, ex. Median word length comes out to 2 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 |
|---|---|---|---|
| 17 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 14 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 14 | 192.178.183.102Google · CDN | United States | AS15169Google LLC |
| 14 | 83.166.133.90 | Switzerland | AS29222Infomaniak Network SA |
| 59 | 4 | - | - |
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