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Security Scan Report: statements.cornell.edu

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/1df6ea1d-158d-401d-8c2b-ca0191ca4635Domain and IP registration (RDAP)/api/v1/rdap/1df6ea1d-158d-401d-8c2b-ca0191ca4635How often this domain was scanned/api/v1/domain/stats/statements.cornell.eduScan history for this domain/api/v1/domain/history/statements.cornell.edu?limit=15
This website contacted 15 IPs in 2 countries across 10 domains to perform 36 HTTP transactions. The main domain is cornell.edu and was registered 41 years ago.

Submitted URL: https://statements.cornell.edu/2026/20260921-update.cfm

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

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Official Cornell University statement page on cornell.edu, 41-year-old domain ranked in the top 1K. Only a site search form, no credential or payment fields, and no threat-intel, YARA or IDS hits.

Safety Factors (5)
Domain age 41 years, well-established (Minimal risk category)
Top 1K Cisco Umbrella ranking (#525)
Official .edu domain matching the presented brand (self-branding)
No credential, login or payment fields
No threat-intelligence, YARA, IDS or JavaScript-behavioral findings
Domain age information unavailable

Details

Page Title

Statement on lawsuit regarding 2024 sexual violence allegations | University Statements | Cornell University

Scan Type

public

Domain Name Analysis

You're looking at domain 'statements.cornell.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'statements'. The core label 'cornell' covers 7 characters split between two vowels and five consonants. Word splitting yields 1 word: cornell. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://statements.cornell.edu/2026/20260921-update.cfm

Page Load Overview

7.87s
Total Load Time
853 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,948 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
phishing/scam
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
2184.24.77.166Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2150.171.109.98Azure · CLOUDUnited States
AS8075Microsoft Corporation
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
2150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
2184.24.77.167Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2150.171.109.106Azure · CLOUDUnited States
AS8075Microsoft Corporation
3615--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148417593FE144E3F66D641B2B5B47214C7AADA0EE1015850FCE8409D6BD1FCAC9B33A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:CXi/ldnwJANwwgX/QlZkXX20t+nvN8V8lTB5tmc/ePB9EX7/kBRL0AN6c:zGAKV3W0t+vNTlTPYcmZY7/kL0Fc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2432:AAAAkQAABAJgAA+ABBAIIEBAAAAAgAgCgCAAACICAQAIAAAgCAAAJAABQACAAAgADARAAAgAAACgAAIDAAAEgAACAAgAAkCA

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:00ffc3efe3e3e3ef
Perceptual Hash:e95f4c4e1a32336a
Difference Hash:03001e1e070f1f17
Wavelet Hash:00ffc3c7c1c3c3c3
Color Hash:#40b9bf

Other Hashes

Crop Resistant:03001e1e070f1f17,0009090404010901

Scan History

Scan history not available

Unable to load historical scan data