Security Scan Report: researchguides.oakton.edu

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 1 country across 8 domains to perform 20 HTTP transactions. The main domain is oakton.edu and was registered 33 years ago.

Submitted URL: https://researchguides.oakton.edu/c.php?g=597133&p=4132838

The Cisco Umbrella rank of the primary domain is #470,829 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Oakton College Library LibGuides page on the 2024 presidential race and elections. Established .edu domain, search-only form, no credential harvesting, no malware or threat-intel indicators.

Safety Factors (5)
Established 33-year-old .edu domain
Self-branding consistent with domain (Oakton College)
No credential or payment forms
No threat-intel, hunting rule, IDS or Safe Browsing hits
Educational institutional content with attribution to Ballotpedia, ABC News debate details
Domain age information unavailable

Details

Page Title

Presidential Race 2024 - Elections and Voting - 2026 Election Guide - LibGuides at Oakton College

Scan Type

public

Domain Name Analysis

Within the sponsored educational top-level domain (.edu), 'researchguides.oakton.edu' is registered and includes subdomain 'researchguides'. Count 6 characters in 'oakton' split between 3 vowels and three consonants. Tokenizing the label suggests two words: oak, ton. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Oakton College Oakton College Library / LibGuides / Elections and Voting - 2026 Election Guide | Presidential Race 2024 Elections and Voting - 2026 Election Guide: Presidential Race = =="""ssv« Sear...

Page Load Overview

2.26s
Total Load Time
339 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,461 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
adult content
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
354.85.246.96Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
13.86.37.148Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
118.66.122.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1192.234.16.8Skokie, Illinois, United States
AS26255Oakton Community College
116.15.252.58Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
118.173.206.127Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
154.88.35.99Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2018--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7030902A9E529232373D0DCB6AA77D9AB13C207E3754E91B0BD53805FC2DE4ACA355D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nWS9UAPRhpfVihIQJROF7FAWovDIxhujWx6PmHVegfaGfQGf0oYAwa:WOUAPRhZViWQbOZOWovD3Wx6PmHVegiG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38675:BRATwAEigm1HAEWgFkJQBdTBwLxFQIsTAJQJwRERhH4hKiKAGoHoErSEUIiCJEYBoAF5BETRrsoAJoADxAAZngCaUC2HgAiI

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:df9f9f979fffefff
Perceptual Hash:bc3cc3c36963c38c
Difference Hash:3e3e3e36370e0e1c
Wavelet Hash:8386868283efe3e7
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data