Security Scan Report: reg.uncg.edu

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Submitted: Jan 2, 2026, 3:17:37 PMCompleted: Jan 2, 2026, 3:19:18 PMpubliccompleted
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Summary

This website contacted 46 IPs in 3 countries across 43 domains to perform 99 HTTP transactions. The main domain is reg.uncg.edu and was registered NaN years ago.

Submitted URL: https://reg.uncg.edu/calendars/spring-2026-academic-calendar/

The Cisco Umbrella rank of the primary domain is #142,604 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Official university subdomain
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Spring 2026 Academic Calendar | University Registrar's Office

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(60%)

Domain Information

The domain 'reg.uncg.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'reg'. Its registrable label 'uncg' stretches across 4 characters split between 1 vowel and three consonants. Segmentation suggests 2 words: unc, g. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://reg.uncg.edu/calendars/spring-2026-academic-calendar/

Page Load Overview

8.62s
Total Load Time
96
HTTP Requests
47
Domains
1023 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:10,370 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning60% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
60%
education
45%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
618.66.112.57Germany
23.219.122.72United States
234.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
234.49.192.216Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
220.82.12.44Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
291.228.74.159Unknown
2216.58.206.38United States
AS15169GOOGLE
2142.251.141.78United States
AS15169GOOGLE
2184.24.77.20Unknown
2142.250.185.68United States
AS15169GOOGLE
9646--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3C3F6A29CA8E43A86CB57C4A031B314A1E64317CA052A94F7FC53F4579BEFAD53314E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AlTNTZzKkMkTkUDDDOoXoqqGuPVS7PV3pazNizfzlzhzhDn77:AlBQnYbDDmqqGuPVS7PV3pek7dRl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120234:ICkCXqEDIgpbRqSJEhKEMEOgDwwLlgghLBROCJOCABgiZsgKBABSaIJykApAGwWFggjGUC0ACkJSArRABmCUtoyIwSAGDGG3

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:0000ffffffffffff
Perceptual Hash:b3586e6202bcfd92
Difference Hash:2dd93b5ecc4e4c4c
Wavelet Hash:00008f0f6fe7e7a7
Color Hash:#406cbf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data