Security Scan Report: go.unc.edu

Redirected to:
https://sso.unc.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1
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Submitted: Aug 30, 2026, 9:27:54 AMCompleted: Aug 30, 2026, 9:29:19 AMpubliccompleted

Summary

This website contacted 17 IPs in 4 countries across 16 domains to perform 2 HTTP transactions. The main domain is sso.unc.edu and was registered 21 years ago.

Submitted URL: https://go.unc.edu

Effective URL: https://sso.unc.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1Redirected

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 University of North Carolina Single Sign-On portal with no malicious indicators.

Safety Factors
Official university domain and branding
Secure SAML2 redirect flow
No external malicious resources detected
Domain age information unavailable

Details

Page Title

UNC-Chapel Hill Link Shortener: go.unc.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'go.unc.edu' is registered, featuring subdomain 'go'. The second-level label 'unc' is 3 characters long with one vowel and 2 consonants. Tokenizing the label suggests one word: unc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go.unc.edu

Page Load Overview

5.33s
Total Load Time
35
HTTP Requests
16
Domains
758 KB
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:768 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education
45%
government public service
28%
social media
15%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32.16.10.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.185.0.4United States
AS54113Fastly, Inc.
2151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2152.2.8.7Durham, North Carolina, United States
AS36850University of North Carolina at Chapel Hill
2152.2.8.6Durham, North Carolina, United States
AS36850University of North Carolina at Chapel Hill
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
22.19.252.150Slough, England, United Kingdom
AS20940Akamai International B.V.
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
2150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3517--

Page Statistics

35
Requests
15
Unique Domains
793.3 KB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B301BDB70C25CEACD3845662D4813219D086A18E5BBC1C72E5D1056DA5ACFE8A1A694E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hCp1kSCP+PZGHbrFn+PD+CS/n+PD+CDH+PD+CR0h56M8fDxG:hCp1kLWPYvQPDjG+PDjCPDji6tLxG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:800:CAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAIAIAAAAAAAAAQECAIAAAAAAAAAAAJAAAAAAAACAABAAAAAgAAAAQAAAAAAAAAAB

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:00ffcfff00ffffff
Perceptual Hash:b838c94347cd6d66
Difference Hash:92383f3e0c000000
Wavelet Hash:0081818700ffffff
Color Hash:#d2a779

Other Hashes

Crop Resistant:92383f3e0c000000

Scan History

Scan history not available

Unable to load historical scan data