Summary
API
This website contacted 1 IP in 1 country across 1 domain to perform 49 HTTP transactions. The main domain is fes.de and was registered 5 years ago.
Submitted URL: https://www.fes.de/strategy-debates-global/strategy-debates-us-midterm-elections
The Cisco Umbrella rank of the primary domain is #375,531 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
Official Friedrich-Ebert-Stiftung (fes.de) analysis page on US midterm elections. Five-year-old domain, own-branding, same-origin member login, no Indicators of Compromise or malware. Legitimate.
Safety Factors (5)
Details
Page Title
Strategy Debates: US-Midterm elections
Scan Type
public
Domain Name Analysis
The domain name 'www.fes.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. The core label 'fes' covers 3 characters split between 1 vowel and 2 consonants. Splitting it apart reveals 1 word: fes. Median word length comes out to three 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 |
|---|---|---|---|
| 49 | 195.243.222.30 | Cologne, North Rhine-Westphalia, Germany | AS3320Deutsche Telekom AG |
| 49 | 1 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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