Summary
This website contacted 13 IPs in 2 countries across 9 domains to perform 72 HTTP transactions. The main domain is beckemeyeril.gov and was registered NaN years ago.
Submitted URL: https://beckemeyeril.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no apparent security concerns.
Safety Factors
Details
Page Title
beckemeyeril.gov
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'beckemeyeril.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'beckemeyeril' stretches across 12 characters containing five vowels alongside seven consonants. Word splitting yields four words: be, cke, meyer, il. Median word length is 2.5 characters. 'be' most strongly signals Italian. You may catch it in French and Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 12 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 57.144.248.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 142.214.215.253 | St Louis, Missouri, United States | AS7393CYBERCON |
| 5 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 172.66.134.99 | United States | AS13335CLOUDFLARENET |
| 5 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2a03:2880:f083:100:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2a03:2880:f37c:80:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 72 | 13 | - | - |
Detected Technologies8
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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