Summary
This website contacted 47 IPs in 3 countries across 13 domains to perform 55 HTTP transactions. The main domain is benefeds.gov and was registered NaN years ago.
Submitted URL: https://www.benefeds.gov/
AI Security Verdict
Low Risk
Confidence: 80%
Low risk site; minor redirect issue but no malicious activity detected.
Risk Factors
Safety Factors
Details
Page Title
BENEFEDS | Federal Benefits Enrollment (FEDVIP, FLTCIP, FSAFEDS)
Scan Type
public
Language
English
Category
government public service
(57%)Domain Information
The domain 'www.benefeds.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'benefeds' covers 8 characters containing three vowels alongside 5 consonants. Segmentation suggests 2 words: bene, feds. Median word length comes out to 4 characters. 'ben' most often appears in Galician. Usage also turns up in Italian and English contexts.
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 |
|---|---|---|---|
| 9 | 104.126.37.176 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.209.208.19 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 3.171.214.123 | United States | AS16509AMAZON-02 |
| 1 | 52.19.77.37 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 142.250.185.195 | United States | AS15169GOOGLE |
| 1 | 18.66.102.51 | United States | AS16509AMAZON-02 |
| 1 | 104.126.37.131 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.10.240.194 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 172.217.23.106 | United States | AS15169GOOGLE |
| 55 | 47 | - | - |
Detected Technologies7
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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