Summary
This website contacted 14 IPs in 1 country across 14 domains to perform 1 HTTP transaction. The main domain is lbnf-dune.fnal.gov and was registered NaN years ago.
Submitted URL: https://lbnf-dune.fnal.gov/
The Cisco Umbrella rank of the primary domain is #210,662 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate informational site about the DUNE experiment with no security concerns.
Safety Factors
Details
Page Title
DUNE at LBNF
Scan Type
public
Language
English
Category
social media network
(67%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'lbnf-dune.fnal.gov' is registered with subdomain 'lbnf-dune'. Count 4 characters in 'fnal' split between one vowel and three consonants. It segments into two words: f, nal. The median word length lands at 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 |
|---|---|---|---|
| 16 | 131.225.105.28 | Aurora, Illinois, United States | AS3152Fermi National Accelerator Laboratory Fermilab |
| 9 | 131.225.105.39 | Aurora, Illinois, United States | AS3152Fermi National Accelerator Laboratory Fermilab |
| 9 | 142.250.186.78 | United States | AS15169Google LLC |
| 9 | 104.18.0.22 | United States | AS13335Cloudflare, Inc. |
| 9 | 172.217.20.138 | United States | AS15169Google LLC |
| 9 | 104.21.27.152 | United States | Unknown |
| 9 | 104.18.11.207 | United States | AS13335Cloudflare, Inc. |
| 9 | 131.225.105.114 | Aurora, Illinois, United States | AS3152Fermi National Accelerator Laboratory Fermilab |
| 9 | 142.251.208.14 | United States | AS15169Google LLC |
| 9 | 142.251.141.67 | United States | AS15169Google LLC |
| 133 | 14 | - | - |
Detected Technologies17
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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