Summary
This website contacted 16 IPs in 2 countries across 5 domains to perform 60 HTTP transactions. The main domain is bnl.gov and was registered NaN years ago.
Submitted URL: https://www.bnl.gov/world/
The Cisco Umbrella rank of the primary domain is #224,112 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Brookhaven National Laboratory site appears legitimate and safe.
Safety Factors
Details
Page Title
Brookhaven National Laboratory — a passion for discovery
Scan Type
public
Language
English
Category
technology software
(63%)Domain Information
The domain name 'www.bnl.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'bnl' is 3 characters long holding zero vowels versus 3 consonants. Word splitting yields two words: b, nl. Median word length is 1.5 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 |
|---|---|---|---|
| 15 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 18.206.197.209 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 52.205.200.170 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 52.73.196.203 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 35.170.123.30 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 35.170.211.208 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 142.250.185.136 | United States | AS15169GOOGLE |
| 3 | 142.250.184.195 | United States | AS15169GOOGLE |
| 3 | 52.1.198.51 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 142.250.184.202 | United States | AS15169GOOGLE |
| 60 | 16 | - | - |
Detected Technologies4
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
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