Summary
This website contacted 62 IPs in 2 countries across 15 domains to perform 217 HTTP transactions. The main domain is littlerock.gov and was registered NaN years ago.
Submitted URL: https://www.littlerock.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
City of Little Rock, Arkansas - Capital City - Pulaski County | City of Little Rock
Scan Type
public
Language
English
Category
government public service
(76%)Domain Information
The domain name 'www.littlerock.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The second-level label 'littlerock' is 10 characters long split between three vowels and 7 consonants. Word splitting yields two words: little, rock. Median word length is 5 characters. Most frequently, 'little' shows up in Chinese (Pinyin). Usage also turns up in English and Chinese (Zhuyin) 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 |
|---|---|---|---|
| 34 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 3 | 74.84.144.214 | Ashburn, Virginia, United States | AS14361HOPONE-GLOBAL |
| 3 | 34.54.91.124 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 142.250.185.206 | United States | AS15169GOOGLE |
| 3 | 142.250.185.202 | United States | AS15169GOOGLE |
| 3 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 3 | 216.58.206.67 | United States | AS15169GOOGLE |
| 3 | 142.250.184.238 | United States | AS15169GOOGLE |
| 3 | 142.250.186.168 | United States | AS15169GOOGLE |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 217 | 62 | - | - |
Detected Technologies13
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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