Summary
API
This website contacted 4 IPs in 1 country across 16 domains to perform 342 HTTP transactions. The main domain is midlandtexas.gov and was registered 20 years ago.
Submitted URL: https://www.midlandtexas.gov/list.aspx
AI Security Verdict
Low Risk
Confidence: 90%
Legitimate government site with no malicious activity detected; low risk.
Risk Factors (2)
Safety Factors (4)
Details
Page Title
Notify Me • Midland, TX • CivicEngage
Scan Type
public
Domain Name Analysis
Within the United States government-restricted top-level domain (.gov), 'www.midlandtexas.gov' is registered, featuring subdomain 'www'. The registrable portion 'midlandtexas' spans 12 characters with 4 vowels and eight consonants. Splitting it apart reveals two words: midland, texas. Median word length comes out to 6 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 |
|---|---|---|---|
| 87 | 208.90.191.85 | United States | AS36489IP Pathways, LLC |
| 85 | 142.250.154.97 | United States | AS15169Google LLC |
| 85 | 3.174.46.94 | United States | AS16509Amazon.com, Inc. |
| 85 | 150.171.109.193 | United States | AS8075Microsoft Corporation |
| 342 | 4 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data