Summary
This website contacted 8 IPs in 2 countries across 4 domains to perform 45 HTTP transactions. The main domain is randolphcountyal.gov and was registered NaN years ago.
Submitted URL: https://randolphcountyal.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Official Randolph County website appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home - Randolph County Alabama
Scan Type
public
Language
LANG=
Category
government public service
(77%)Domain Information
The domain name 'randolphcountyal.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Count 16 characters in 'randolphcountyal' holding five vowels versus 11 consonants. Splitting it apart reveals 3 words: randolph, county, al. Median word length is six characters. Most frequently, 'randolph' shows up in Spanish. You will also see it in Catalan and Italian 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 |
|---|---|---|---|
| 5 | 23.212.210.248 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 5 | 142.250.186.106 | United States | AS15169GOOGLE |
| 5 | 23.36.163.225 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 23.36.163.228 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 160.153.0.29 | United States | AS209242Cloudflare London, LLC |
| 5 | 2a02:26f0:3500:e98::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a02:26f0:3500:e8c::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 45 | 8 | - | - |
Detected Technologies14
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
Scan History
Scan history not available
Unable to load historical scan data