Summary
This website contacted 11 IPs in 2 countries across 11 domains to perform 1 HTTP transaction. The main domain is ifac2026.org and was registered NaN years ago.
Submitted URL: http://www.ifac2026.org/
Effective URL: https://www.ifac2026.org/fairDash.doRedirected
AI Security Verdict
Low Risk
Confidence: 78%
The site appears legitimate with low risk, but obfuscated scripts and redirects warrant cautious browsing.
Risk Factors
Safety Factors
Details
Page Title
IFAC 2026
Scan Type
public
Language
English
Category
documentation technical
(73%)Domain Information
You're looking at domain 'www.ifac2026.org' on the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'ifac2026' stretches across 8 characters with two vowels and 2 consonants, plus 4 digits. Splitting it apart reveals three words: if, ac, 2026. Median word length comes out to two 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 |
|---|---|---|---|
| 22 | 104.20.33.75 | United States | AS13335Cloudflare, Inc. |
| 12 | 142.251.110.95 | United States | AS15169Google LLC |
| 12 | 172.67.184.158 | United States | AS13335Cloudflare, Inc. |
| 12 | 104.18.0.22 | United States | AS13335Cloudflare, Inc. |
| 12 | 172.66.155.140 | United States | AS13335Cloudflare, Inc. |
| 12 | 211.253.135.22 | South Korea | AS4766Korea Telecom |
| 12 | 142.250.154.93 | United States | AS15169Google LLC |
| 12 | 142.250.154.94 | United States | AS15169Google LLC |
| 12 | 13.32.99.41 | New York, New York, United States | AS16509Amazon.com, Inc. |
| 12 | 52.217.90.28 | Ashburn, Virginia, United States | AS16509Amazon.com, Inc. |
| 142 | 11 | - | - |
Detected Technologies7
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