Security Scan Report: journals.law.unc.edu

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 6 domains to perform 29 HTTP transactions. The main domain is unc.edu and was registered 40 years ago.

Submitted URL: https://journals.law.unc.edu/ncjolt/blogs/are-you-paying-more-than-your-neighbor-a-look-into-algorithmic-pricing/

The Cisco Umbrella rank of the primary domain is #30,850 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Legitimate UNC School of Law journal article on algorithmic pricing; established university domain, no forms collecting credentials or payment, no threat-intel or malware signals.

Safety Factors (5)
Long-established university domain (unc.edu, registered 1986)
Article-typed legal journal content with named author and physical address (Van Hecke-Wettach Hall, Chapel Hill, NC)
No credential or payment collection of any kind
No indicators of compromise, malware, or obfuscated scripts
Brand names mentioned (Instacart, Uber) are subjects of reporting, not impersonated
Domain age information unavailable

Details

Page Title

Are You Paying More Than Your Neighbor? A Look into Algorithmic Pricing | North Carolina Journal of Law & Technology

Scan Type

public

Domain Name Analysis

The domain name 'journals.law.unc.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'journals.law'. The registrable portion 'unc' spans 3 characters split between one vowel and two consonants. Word splitting yields 1 word: unc. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://journals.law.unc.edu/ncjolt/blogs/are-you-paying-more-than-your-neighbor-a-look-into-algorithmic-pricing/

Page Load Overview

5.75s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:6,332 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
77%
technology software
76%
government public service
75%
documentation technical
70%
adult content
56%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5152.2.64.37Chapel Hill, North Carolina, United States
AS36850University of North Carolina at Chapel Hill
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4142.251.127.95Google · CDNUnited States
AS15169Google LLC
423.185.0.4Fastly · CDNUnited States
AS54113Fastly, Inc.
4216.239.32.36Google · CDNUnited States
AS15169Google LLC
4192.178.183.94Google · CDNUnited States
AS15169Google LLC
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
297--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF030973D078053967CD63DCE695B36DF655A10ACF10EAA2B0F41248E789EFA807721D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:oqJcZdaper0t58ZPPMT86hg76nyzXV9v5q+6:oqJsapR58Z3oS76nyzXV9v5q+6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38368:iKaBYSiIofBgABERlhEUoesQUQEHhQaSUYoB/CeUAcgFEFksslgAZoiNQFkwAlAAiiIgBQj8ABBNCkHABEmjwyQCICwhLEKX

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:000000ffffffffff
Perceptual Hash:aa4242639fbd9c17
Difference Hash:c98d34006333333b
Wavelet Hash:000000dfbf9f9f9f
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data