Summary
This website contacted 23 IPs in 3 countries across 24 domains to perform 73 HTTP transactions. The main domain is hles.unl.edu and was registered NaN years ago.
Submitted URL: https://hles.unl.edu/insects/urban-entomology/bed-bugs/
The Cisco Umbrella rank of the primary domain is #59,837 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate university page with no security concerns.
Safety Factors
Details
Page Title
Bed Bugs | Horticulture, Landscape, and Environmental Systems | Nebraska
Scan Type
public
Language
English
Category
education learning
(57%)Domain Information
The domain name 'hles.unl.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'hles'. Its registrable label 'unl' stretches across 3 characters with 1 vowel and two consonants. Word splitting yields 2 words: un, l. Average segment length settles at 1.5 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 |
|---|---|---|---|
| 14 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 142.250.186.99 | Netherlands | |
| 6 | 2.18.244.198 | Germany | |
| 6 | 2.18.64.220 | United States | |
| 6 | 23.53.43.34 | Unknown | |
| 6 | 15.197.193.217 | Unknown | |
| 6 | 129.93.168.155 | Lincoln, Nebraska, United States | AS7896NU-AS |
| 6 | 142.250.185.132 | Unknown | |
| 6 | 157.240.0.6 | Unknown | |
| 6 | 74.121.140.211 | Reston, Virginia, United States | AS30419PAEDAE-INC |
| 146 | 23 | - | - |
Detected Technologies6
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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