Summary
This website contacted 109 IPs in 4 countries across 28 domains to perform 161 HTTP transactions. The main domain is lapl.org and was registered NaN years ago.
Submitted URL: https://www.lapl.org/branches/central-library
The Cisco Umbrella rank of the primary domain is #440,350 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate public library page with no security concerns.
Safety Factors
Details
Page Title
Central Library | Los Angeles Public Library
Scan Type
public
Language
English
Category
forum
(40%)Domain Information
The domain name 'www.lapl.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The second-level label 'lapl' is 4 characters long containing one vowel alongside 3 consonants. Word splitting yields two words: lap, l. Median word length comes out to 2 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 |
|---|---|---|---|
| 103 | 23.185.0.4 | United States | AS54113FASTLY |
| 6 | 52.222.236.88 | United States | AS16509AMAZON-02 |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 98.89.7.220 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 192.178.170.95 | United States | AS15169GOOGLE |
| 4 | 216.58.206.40 | United States | AS15169GOOGLE |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.186.174 | United States | AS15169GOOGLE |
| 161 | 109 | - | - |
Detected Technologies9
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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