Summary
This website contacted 21 IPs in 3 countries across 18 domains to perform 81 HTTP transactions. The main domain is tamusa.edu and was registered NaN years ago.
Submitted URL: https://www.tamusa.edu/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
Texas A&M University-San Antonio
Scan Type
public
Domain Information
You're looking at domain 'www.tamusa.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'www'. Count 6 characters in 'tamusa' split between three vowels and 3 consonants. Breaking it apart gives two words: tam, usa. Expect three characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 142.250.185.232 | United States | AS15169GOOGLE |
| 3 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 216.58.206.72 | United States | AS15169GOOGLE |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 142.250.181.234 | United States | AS15169GOOGLE |
| 3 | 142.250.186.99 | United States | AS15169GOOGLE |
| 3 | 2.19.126.159 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 96.46.160.99 | San Antonio, Texas, United States | AS397549TAMU-SA |
| 81 | 21 | - | - |
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
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