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Security Scan Report: events.cornell.edu

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Submitted: Dec 30, 2025, 12:31:26 AMCompleted: Dec 30, 2025, 12:32:31 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 10 domains to perform 62 HTTP transactions. The main domain is events.cornell.edu and was registered NaN years ago.

Submitted URL: https://events.cornell.edu/event/cornell_mens_tennis_vs_michigan_state_university

The Cisco Umbrella rank of the primary domain is #525 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Cornell event page with no security concerns.

Safety Factors
Established institutional domain (cornell.edu)
Standard event page with no suspicious elements
Domain age information unavailable

Details

Page Title

Cornell Men's Tennis vs #33 Michigan State University - Cornell

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'events.cornell.edu' is registered with subdomain 'events'. The second-level label 'cornell' is 7 characters long containing two vowels alongside five consonants. Tokenizing the label suggests 1 word: cornell. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://events.cornell.edu/event/cornell_mens_tennis_vs_michigan_state_university

Page Load Overview

9.85s
Total Load Time
36
HTTP Requests
11
Domains
1.3 MB
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:1,569 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
50%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1213.92.255.122Washington, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
213.107.246.44Sweden
AS32934
213.107.213.44Germany
AS8075
2216.239.32.36United States
AS15169GOOGLE
2184.24.77.144Unknown
AS13335
218.156.149.51Unknown
AS16509
2142.251.141.100UnknownUnknown
2216.239.34.36UnknownUnknown
23.122.20.175UnknownUnknown
2157.240.0.6UnknownUnknown
3613--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19633E63350882467C10A9FDAA196BB0A7B62F787EAD10911F5BC4FA04FC3E99790735D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:x0iaTkvDOMGFj0wF6DFkJGPmAzXs7XV8bPSViQ5TLoT1T753oT1T7EFKeIAo:oaDOMGFj0wsDBSViQ5TsZP5YZPEFZIV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54152:AARBASEEQaD3UqEkBZcoSBYUhIgGIhHCaAETgEkEQwJwgvFyBJlGJQbBKW7KSBwUIbjECIEIBBkAgmJECAIA7yVCCIokURJk

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:00fff3f3f3d3ffff
Perceptual Hash:ec659b186d1b6466
Difference Hash:1306a6a6a6a63032
Wavelet Hash:00c3d0c0d1d1dfdf
Color Hash:#864a2d

Other Hashes

Crop Resistant:1306a6a6a6a63032,01c1d1494941d141,98b42034534556ac

Scan History

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