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LIMITED DATA

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Security Scan Report: mcdonaldobservatory.org

Submitted: Dec 12, 2025, 11:33:24 AMCompleted: Dec 12, 2025, 11:34:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is mcdonaldobservatory.org and was registered NaN years ago.

Submitted URL: https://mcdonaldobservatory.org/meteor-showers

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site of McDonald Observatory with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection forms
Official branding matches domain
Domain age information unavailable

Details

Page Title

Meteor Showers | McDonald Observatory

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'mcdonaldobservatory.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The second-level label 'mcdonaldobservatory' is 19 characters long containing six vowels alongside 13 consonants. Tokenizing the label suggests 2 words: mcdonald, observatory. The median word length lands at 9.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mcdonaldobservatory.org/meteor-showers

Page Load Overview

13.17s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:765 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
63%
adult content
56%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.19.122.34Columbus, Ohio, United States
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFE2081254A03537011317AAF6A9FA35F2D7D15BEB500A10B3FCA4696BCAD708DA33EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dD9WMOtGv4CJZa59hn/3i03Cq26OMIsNE5HG1Q4fK2uxzaegx3MtAabWstq7go8T:dnOtGv4CJ8WXwE1G1Q6Bu1eYvyX7go8T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31626:EAkA4FijCgMoGHIGi0wG2Tgo4SAClO0uWaqrRSMRQBEoMaAYoAGgYoIQNYAoAAGigkCEJhELwCIGIMCxRpQSUBCmBAKoSdJx

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:00003c3838383c3c
Perceptual Hash:ce30336536ccce9a
Difference Hash:cdc961e461e0e069
Wavelet Hash:243c3c3c3c3c7e3c
Color Hash:#a887c5

Other Hashes

Scan History

Scan history not available

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