Security Scan Report: www.unc.edu

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Submitted: Nov 25, 2025, 1:00:28 PMCompleted: Nov 25, 2025, 1:03:04 PMpubliccompleted
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Summary

This website contacted 65 IPs in 2 countries across 17 domains to perform 88 HTTP transactions. The main domain is unc.edu and was registered NaN years ago.

Submitted URL: https://www.unc.edu/posts/2025/11/11/dan-driscoll-is-the-soldiers-ceo/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate UNC‑Chapel Hill news article with no security concerns.

Safety Factors
Established university domain (unc.edu)
Top‑10 K Cisco Umbrella ranking
Content appears to be a standard news article
Domain age information unavailable

Details

Page Title

Dan Driscoll is the soldiers’ CEO | UNC-Chapel Hill

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'www.unc.edu' is registered; it also runs on subdomain 'www'. Count 3 characters in 'unc' containing one vowel alongside two consonants. Word splitting yields 1 word: unc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unc.edu/posts/2025/11/11/dan-driscoll-is-the-soldiers-ceo/

Page Load Overview

1.10s
Total Load Time
88
HTTP Requests
17
Domains
2.7 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:8,754 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

news/blog
50%
education learning
45%
education
45%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4223.185.0.4United States
AS54113FASTLY
8184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.250.184.232United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
3142.250.186.110United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2162.247.243.29United States
AS54113FASTLY
1188.114.97.3United States
AS13335CLOUDFLARENET
8865--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4D309F2196D603993AFA2C8B129F704E153508ADF894D90B3F892CCD3C5EE851A765F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:B87yDp0Dpn3Cc16gY5apjjC8IEIIIelxYOVvirmReM/BG8D67mZFJ8lSLd:wyDp0DpSc16gYYJxYONRN1JfR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142913:EIACAEjQLRUgQeVOgBEKwDAUIExAASWCtCgEAWAAQVtASCA3MKShF3gzYChDWLESsZcYIADIiKgBJACwoVAiQIJJnQQgHARw

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:007e7e7e7e7e4600
Perceptual Hash:94c06b9e6bb41ee1
Difference Hash:a2a0888e8caaae97
Wavelet Hash:007e7e7e7e7e4200
Color Hash:#b687c5

Scan History

Scan history not available

Unable to load historical scan data