Security Scan Report: astro.unl.edu

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Submitted: Aug 26, 2026, 9:29:03 AMCompleted: Aug 26, 2026, 9:30:30 AMpubliccompleted

This website contacted 2 IPs in 1 country across 4 domains to perform 15 HTTP transactions. The main domain is astro.unl.edu and was registered 14 years ago.

Submitted URL: https://astro.unl.edu/classaction/questions/lunarcycles/ca_lunarcycles_eclipsetypes.html

The Cisco Umbrella rank of the primary domain is #59,837 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #59,837.

Safety Factors (3)
Well-established domain (ranked #59,837)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Types of Lunar Eclipses

Scan Type

public

Domain Name Analysis

The domain 'astro.unl.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'astro'. The core label 'unl' covers 3 characters containing one vowel alongside two consonants. Segmentation suggests 2 words: un, l. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://astro.unl.edu/classaction/questions/lunarcycles/ca_lunarcycles_eclipsetypes.html

Page Load Overview

2.65s
Total Load Time
568 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:467 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.251.14.97Google · CDNUnited States
AS15169Google LLC
7129.93.1.30Lincoln, Nebraska, United States
AS7896The Board of Regents of the University of Nebraska
152--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E11124E7C4ACDB681D1DB80F176FA08C082820EF065FE68E9E8507DA5E47EE9460D98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnM9iuXI9P5I05YLdkAnj3jQeN/3aShzYFs6QclfVIH+6Xthu1zk+6HAVjAqJmW5:hM0mIJ5PIdv/hPhsFssqe6CD6HAlP6VG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:886:ACEAAMAgAAAAAAEAAAAAAQAAAAAAAAAAAAAAAAAAAICUAAABAAAAAAAAAAAAAAAAQABAAAAAAgBCCACAQQAAAAAIAABAAQIA

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

Average Hash:ffc3dbdbc3ffffe7
Perceptual Hash:ec3186ce33cc9933
Difference Hash:028e96969632300c
Wavelet Hash:03030b03033f3f3f
Color Hash:#2dd232

Scan History

Scan history not available

Unable to load historical scan data