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Security Scan Report: blogs.fuqua.duke.edu

Submitted: Mar 7, 2026, 4:20:43 PMCompleted: Mar 7, 2026, 4:22:26 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 47 HTTP transactions. The main domain is blogs.fuqua.duke.edu and was registered NaN years ago.

Submitted URL: https://blogs.fuqua.duke.edu/duke-mba/2020/01/29/courtney-ridenhour/the-duke-unc-rivalry-explained

The Cisco Umbrella rank of the primary domain is #52,555 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational blog post; no security concerns detected.

Safety Factors
Established academic subdomain of duke.edu
Article content about Duke‑UNC rivalry, not brand impersonation
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
Domain age information unavailable

Details

Page Title

The Duke-UNC Rivalry Explained - Duke Daytime MBA Student Blog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'blogs.fuqua.duke.edu' is registered, featuring subdomain 'blogs.fuqua'. Its registrable label 'duke' stretches across 4 characters containing 2 vowels alongside 2 consonants. Splitting it apart reveals one word: duke. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://blogs.fuqua.duke.edu/duke-mba/2020/01/29/courtney-ridenhour/the-duke-unc-rivalry-explained

Page Load Overview

9.68s
Total Load Time
96
HTTP Requests
20
Domains
3.0 MB
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-US
Text Length:5,261 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
education
45%
corporate
35%
adult content
26%
entertainment media
26%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20172.217.16.202Germany
AS54113
19146.75.120.134Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
19172.67.68.60Germany
AS32934
19172.217.16.200Germany
AS8075
19152.3.160.151Durham, North Carolina, United States
AS13371Duke University
965--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F87319B2D3B94036936B83EE66957708B6E1D913E5494AB2B5FC81889FC3CF70023759

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ud3dbag2R4ypmSpw4UC4E2Tki8QFojDO/qk:ud3dbajL4J4UC4E2Tki8uojDO/qk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74097:BnhQgQoQAgpjSAiPAVjEDgSGSBImAIBCRwS3TQwr56hFIoQCAAADJBpEwggLR6hIcChEg5VgGIz4KAINJAQUholAHgMAiB0K

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:ffffff8f0f0f8fcf
Perceptual Hash:bbc4c03b3bc4c43b
Difference Hash:e0f8c51d19591919
Wavelet Hash:fcfc95050d0d0d8d
Color Hash:#1f9374

Other Hashes

Crop Resistant:e0f8c51d19591919,04483373d2d2dad2

Scan History

Scan history not available

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