Summary
This website contacted 120 IPs in 4 countries across 36 domains to perform 214 HTTP transactions. The main domain is gmfus.org and was registered NaN years ago.
Submitted URL: https://www.gmfus.org/news/2026-national-defense-authorization-act-what-europeans-need-know
AI Security Verdict
Low Risk
Confidence: 85%
Site appears legitimate; minor concern due to circular redirect.
Risk Factors
Safety Factors
Details
Page Title
The 2026 National Defense Authorization Act: What Europeans Need to Know | German Marshall Fund of the United States
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'www.gmfus.org' is registered, featuring subdomain 'www'. The core label 'gmfus' covers 5 characters with 1 vowel and four consonants. Tokenizing the label suggests 3 words: gm, fu, s. Median word length is 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 |
|---|---|---|---|
| 95 | 18.173.205.127 | United States | AS16509AMAZON-02 |
| 1 | 34.215.17.110 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 54.187.159.182 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 104.18.124.73 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.212.136 | United States | AS15169GOOGLE |
| 1 | 104.26.9.103 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.72.154 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 142.250.186.99 | United States | AS15169GOOGLE |
| 1 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 214 | 120 | - | - |
Detected Technologies10
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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