Summary
This website contacted 33 IPs in 2 countries across 10 domains to perform 69 HTTP transactions. The main domain is ycfld.gov and was registered NaN years ago.
Submitted URL: https://ycfld.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate library website with no security concerns.
Safety Factors
Details
Page Title
Front Page | Yavapai County Free Library District
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'ycfld.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'ycfld' spans 5 characters holding zero vowels versus 5 consonants. Splitting it apart reveals 3 words: y, cfl, d. Median word length comes out to one character. 'y' most often appears in Spanish. Usage also turns up in Catalan and Sinhala contexts. Overall, 'ycfld.gov' reads as Spanish.
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 |
|---|---|---|---|
| 5 | 142.250.186.42 | United States | AS15169GOOGLE |
| 2 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 54.235.123.25 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 142.250.74.206 | United States | AS15169GOOGLE |
| 2 | 44.194.36.153 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 216.58.212.136 | United States | AS15169GOOGLE |
| 2 | 64.187.111.43 | United States | AS398275YCFLD |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 69 | 33 | - | - |
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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