Summary
This website contacted 52 IPs in 3 countries across 33 domains to perform 244 HTTP transactions. The main domain is texasamhotelcc.com and was registered NaN years ago.
Submitted URL: https://www.texasamhotelcc.com/
AI Security Verdict
High Risk
Confidence: 85%
Site shows strong phishing indicators despite being an old domain; avoid and report.
Risk Factors
Details
Page Title
Texas A&M Hotel & Conference Center - Hotel near College Station, TX
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain name 'www.texasamhotelcc.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'texasamhotelcc' stretches across 14 characters containing 5 vowels alongside nine consonants. Splitting it apart reveals four words: texas, am, hotel, cc. Median word length is 3.5 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 |
|---|---|---|---|
| 40 | 3.227.72.30 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 172.66.174.217 | United States | AS13335CLOUDFLARENET |
| 4 | 147.182.255.30 | Santa Clara, California, United States | AS14061DIGITALOCEAN-ASN |
| 4 | 142.250.185.106 | United States | AS15169GOOGLE |
| 4 | 151.101.194.137 | United States | AS54113FASTLY |
| 4 | 18.66.147.75 | United States | AS16509AMAZON-02 |
| 4 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 18.245.31.100 | United States | AS16509AMAZON-02 |
| 4 | 142.250.186.136 | United States | AS15169GOOGLE |
| 4 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 244 | 52 | - | - |
Detected Technologies2
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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