Security Scan Report: guides.library.cornell.edu

Site favicon
Submitted: Sep 28, 2026, 10:51:17 PMCompleted: Sep 28, 2026, 10:52:25 PMpubliccompleted

This website contacted 27 IPs in 1 country across 13 domains to perform 23 HTTP transactions. The main domain is guides.library.cornell.edu and was registered 18 years ago.

Submitted URL: https://guides.library.cornell.edu/comm2310

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

Legitimate Cornell University Library research guide on the official cornell.edu domain. No forms collecting credentials, no threat-intel, malware, or phishing indicators. Safe to use.

Safety Factors (5)
41-year-old established academic domain (cornell.edu) ranked in the top 1K of Cisco Umbrella
Self-branding: page displays Cornell University Library brand, which matches its own domain
No credential, payment, or disguised password fields anywhere on the page
No Indicators of Compromise, YARA, IDS, or phishing indicators detected
Content classifier: education (90% confidence)
Domain age information unavailable

Details

Page Title

Overview - COMM 2310: Writing About Communication - LibGuides at Cornell University

Scan Type

public

Domain Name Analysis

Domain 'guides.library.cornell.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'guides.library'. The second-level label 'cornell' is 7 characters long with two vowels and five consonants. Breaking it apart gives 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://guides.library.cornell.edu/comm2310

Page Load Overview

3.39s
Total Load Time
473 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,423 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2354.85.246.96Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
099.84.152.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.13.95Google · CDNUnited States
AS15169Google LLC
018.173.206.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
054.231.133.210Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
052.55.227.221Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0142.251.14.97Google · CDNUnited States
AS15169Google LLC
0185.199.109.133Fastly · CDNUnited States
AS54113Fastly, Inc.
2327--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108C29416DAA6182323B2C0C871A576DE3B93C70BE6368DA579FC43505FC7CE454C2A99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fhS9UALRhpfVmhIQJ7ATthvDyxhl7USZl0ZRBuXeep8IvV2vnyT:ZOUALRhZVmWQ+TthvDkZliRBIeep8Ivv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27489:GAF1nBCZ9RUAENAFCAgJEKmiZEjUYSZLAEBeSh8FgCAEgyBBAIISABQC0CYHRA2NI4vBQYZhSzUE+jihoulrMAGoagAUEiBj

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:9f8e83c3d393d3cf
Perceptual Hash:bc1591cccbaa2e3a
Difference Hash:303e2e2a2626263a
Wavelet Hash:9f8e8383839383cf
Color Hash:#6ce0c5

Other Hashes

Crop Resistant:303e2e2a2626263a

Scan History

Scan history not available

Unable to load historical scan data