Security Scan Report: www.cs.cornell.edu

Submitted: Apr 20, 2026, 4:07:23 AMCompleted: Apr 20, 2026, 4:08:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is cs.cornell.edu and was registered NaN years ago.

Submitted URL: https://www.cs.cornell.edu/~pjs54/Teaching/AutomaticLifestyle-S02/Projects/Vlku/history.html

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate educational page with no malicious activity.

Safety Factors
Long‑standing academic domain
High reputation ranking
No malicious signals detected
Domain age information unavailable

Details

Page Title

The History of Television (or, How Did This Get So Big?)

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

education

(90%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'www.cs.cornell.edu' is registered with subdomain 'www.cs'. Its registrable label 'cornell' stretches across 7 characters containing 2 vowels alongside 5 consonants. Tokenizing the label suggests 1 word: cornell. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cs.cornell.edu/~pjs54/Teaching/AutomaticLifestyle-S02/Projects/Vlku/history.html

Page Load Overview

2.33s
Total Load Time
5
HTTP Requests
1
Domains
53 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:7,147 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5132.236.207.53Ithaca, New York, United States
AS26Cornell University
51--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16502736AE3C0137684468557EAAC69F5EBE8B22C1332D6104C4ED8FC41036799B7EEDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:4IuurTHsFl2RCNdtK8IBGtXolB1vWQurSw2y:vNRCNdtKfsXolB1mezy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8672:tSHASBMAJAFiXoDUAkEAAoxAEwM6FJIgJ4QhYxZEQIBEBCBToRIBEAAFdGUagMGpAKiAiKBDgEICqJUmQMgKxqwgIASCAACY

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:7fffff43fc04fcfd
Perceptual Hash:caa5bd5aa58040ff
Difference Hash:e07d998e4df93d41
Wavelet Hash:7effff40fc001c00
Color Hash:#4079bf

Other Hashes

Crop Resistant:e07d998e4df93d41

Scan History

Scan history not available

Unable to load historical scan data