Summary
This website contacted 98 IPs in 2 countries across 16 domains to perform 70 HTTP transactions. The main domain is townofrandall.gov and was registered NaN years ago.
Submitted URL: https://townofrandall.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no apparent security threats.
Safety Factors
Details
Page Title
Town of Randall
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Domain 'townofrandall.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'townofrandall' covers 13 characters containing four vowels alongside 9 consonants. Tokenizing the label suggests 3 words: town, of, randall. The median word length lands at 4 characters. Most frequently, 'town' shows up in Chinese (Pinyin). Usage also turns up in English and Dutch contexts. Overall, 'townofrandall.gov' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 70 | 142.250.185.187 | United States | AS15169GOOGLE |
| 0 | 5.161.88.82 | Ashburn, Virginia, United States | AS213230Hetzner Online GmbH |
| 0 | 142.250.186.123 | United States | AS15169GOOGLE |
| 0 | 142.250.74.211 | United States | AS15169GOOGLE |
| 0 | 216.58.206.72 | United States | AS15169GOOGLE |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 0 | 172.217.18.27 | United States | AS15169GOOGLE |
| 0 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 70 | 98 | - | - |
Detected Technologies11
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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