Summary
This website contacted 28 IPs in 4 countries across 20 domains to perform 112 HTTP transactions. The main domain is cstx.gov and was registered NaN years ago.
Submitted URL: https://www.cstx.gov/your-government/departments/
The Cisco Umbrella rank of the primary domain is #843,346 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the page appears legitimate.
Safety Factors
Details
Page Title
Departments | City of College Station
Scan Type
public
Language
English
Category
adult content
(57%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.cstx.gov' is registered with subdomain 'www'. Count 4 characters in 'cstx' holding zero vowels versus 4 consonants. Segmentation suggests two words: cst, x. Median word length is two 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 |
|---|---|---|---|
| 4 | 3.164.206.14 | United States | AS16509AMAZON-02 |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 96.16.250.18 | Haarlem, North Holland, Netherlands | AS20940Akamai International B.V. |
| 4 | 31.13.72.36 | Bromma, Stockholm County, Sweden | AS32934FACEBOOK |
| 4 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 98.90.65.70 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 13.107.246.53 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 185.76.9.27 | Stockholm, Stockholm County, Sweden | AS60068Datacamp Limited |
| 112 | 28 | - | - |
Detected Technologies4
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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