Summary
This website contacted 19 IPs in 4 countries across 0 domains to perform 0 HTTP transactions. The main domain is usnh.edu.
Submitted URL: https://usnh.edu
AI Security Verdict
Details
Page Title
University System of New Hampshire
Scan Type
public
Domain Information
Domain 'usnh.edu' uses the sponsored educational top-level domain (.edu) with no subdomain. The core label 'usnh' covers 4 characters split between 1 vowel and 3 consonants. It segments into 2 words: us, nh. Expect 2 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 |
|---|---|---|---|
| 0 | 142.250.185.202 | United States | AS15169GOOGLE |
| 0 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 142.251.141.100 | United States | AS15169GOOGLE |
| 0 | 142.250.186.136 | United States | AS15169GOOGLE |
| 0 | 216.239.32.36 | United States | AS15169GOOGLE |
| 0 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 35.204.89.238 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 0 | 142.250.185.230 | United States | AS15169GOOGLE |
| 0 | 19 | - | - |
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
Scan History
Scan history not available
Unable to load historical scan data