Summary
This website contacted 30 IPs in 2 countries across 10 domains to perform 107 HTTP transactions. The main domain is farmdocdaily.illinois.edu and was registered NaN years ago.
Submitted URL: https://farmdocdaily.illinois.edu/2025/11/us-china-soybean-deal-comparing-past-export-levels-and-global-market-impacts.html
The Cisco Umbrella rank of the primary domain is #53,607 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and is legitimate.
Safety Factors
Details
Page Title
U.S.–China Soybean Deal: Comparing Past Export Levels and Global Market Impacts - farmdoc daily
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
The domain name 'farmdocdaily.illinois.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'farmdocdaily'. The second-level label 'illinois' is 8 characters long with four vowels and four consonants. Breaking it apart gives 1 word: illinois. 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 |
|---|---|---|---|
| 65 | 128.174.46.247 | Champaign, Illinois, United States | AS38UIUC |
| 5 | 142.250.186.131 | United States | AS15169GOOGLE |
| 4 | 142.250.184.232 | United States | AS15169GOOGLE |
| 3 | 192.17.59.132 | Monticello, Illinois, United States | AS38UIUC |
| 3 | 216.239.36.178 | United States | AS15169GOOGLE |
| 3 | 216.239.32.178 | United States | AS15169GOOGLE |
| 3 | 172.64.150.190 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.185.168 | United States | AS15169GOOGLE |
| 3 | 104.18.37.66 | United States | AS13335CLOUDFLARENET |
| 3 | 216.58.206.42 | United States | AS15169GOOGLE |
| 107 | 30 | - | - |
Detected Technologies1
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
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