Security Scan Report: css.cornell.edu

Redirected to: https://cals.cornell.edu/school-integrative-plant-science/school-sections/sips-soil-crop-sciences-section

Submitted: Jan 24, 2026, 10:13:24 PMCompleted: Jan 24, 2026, 10:15:11 PMpubliccompleted
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Summary

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

Submitted URL: https://css.cornell.edu

Effective URL: https://cals.cornell.edu/school-integrative-plant-science/school-sections/sips-soil-crop-sciences-sectionRedirected

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

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate university page with no security concerns.

Safety Factors
Established university domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No suspicious forms or scripts
Consistent branding with official Cornell site
Domain age information unavailable

Details

Page Title

Crop and Soil Science

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'css.cornell.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'css'. Its registrable label 'cornell' stretches across 7 characters split between 2 vowels and five consonants. It segments into 1 word: cornell. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://css.cornell.edu

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
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:11,090 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
education learning
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.1.209.87Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF118CA369C01614C3A28E61FAE63A438463CA5976BD011CF9B3E88F05E8916D1462BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hMNmVGsq0kMiFmL0oV2jTbLqXQFmL0kmL0hj:ImHq8dL0JjTbLqHL0DL0x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:871:gBAkgAAAAAAAAAAAgBAAAQAAAIAACAABAgAAABAAAgAAAAAAAAQAAAAAAAAAAAAAAACCAAAAAABASAABAAQAAAAAAAAjAAAA

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:00ffffffffffffff
Perceptual Hash:ea6a6a6a6a6a6a2a
Difference Hash:0100000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#8792c5

Other Hashes

Crop Resistant:0100000000000000

Scan History

Scan history not available

Unable to load historical scan data