Summary
This website contacted 13 IPs in 2 countries across 13 domains to perform 136 HTTP transactions. The main domain is scholars.unh.edu and was registered NaN years ago.
Submitted URL: https://scholars.unh.edu/survey_center_polls/897/
The Cisco Umbrella rank of the primary domain is #131,620 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate academic article with no malicious indicators.
Safety Factors
Details
Page Title
"Early Look at Maine Primary Races: Platner Leads Mills, Collins Far Ah" by UNH Survey Center
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'scholars.unh.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'scholars'. The registrable portion 'unh' spans 3 characters with one vowel and 2 consonants. Splitting it apart reveals one word: unh. 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 |
|---|---|---|---|
| 22 | 18.245.86.69 | United States | AS16509Amazon.com, Inc. |
| 12 | 162.247.243.39 | United States | AS54113Fastly, Inc. |
| 12 | 142.251.20.94 | United States | AS15169Google LLC |
| 12 | 172.66.171.172 | United States | AS13335Cloudflare, Inc. |
| 12 | 142.251.20.95 | United States | AS15169Google LLC |
| 12 | 142.251.20.113 | United States | AS15169Google LLC |
| 12 | 142.251.110.95 | United States | AS15169Google LLC |
| 12 | 104.18.87.42 | United States | AS13335Cloudflare, Inc. |
| 12 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 12 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 166 | 13 | - | - |
Detected Technologies13
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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