Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 164 HTTP transactions. The main domain is neuropsi.cnrs.fr and was registered NaN years ago.
Submitted URL: https://neuropsi.cnrs.fr/en/2026-neuropsi-chen-institute-conference/
The Cisco Umbrella rank of the primary domain is #83,356 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate informational page about a neuroscience conference with no security concerns.
Safety Factors
Details
Page Title
2026 NeuroPSI-Chen Institute Joint Conference - Paris-Saclay Institute of Neuroscience
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Within the French country-code top-level domain (.fr), 'neuropsi.cnrs.fr' is registered; it also runs on subdomain 'neuropsi'. Count 4 characters in 'cnrs' holding 0 vowels versus 4 consonants. Breaking it apart gives 1 word: cnrs. 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 |
|---|---|---|---|
| 78 | 142.250.201.163 | United States | AS15169Google LLC |
| 78 | 93.187.44.2 | Paris, Île-de-France, France | AS33930Cloud Temple SAS |
| 156 | 2 | - | - |
Detected Technologies11
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
Unable to load historical scan data