Security Scan Report: digitaldome.wits.ac.za

Submitted: Mar 18, 2026, 4:59:21 AMCompleted: Mar 18, 2026, 5:01:41 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is digitaldome.wits.ac.za.

Submitted URL: https://digitaldome.wits.ac.za/media/wits-university/digital-dome/documents/Phases%20of%20the%20Moon%20for%202026.pdf

The Cisco Umbrella rank of the primary domain is #570,159 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate academic PDF with no security concerns.

Safety Factors
Served over HTTPS
Hosted on reputable academic domain (wits.ac.za)
Static PDF content with no interactive elements
No external redirects or cross‑origin requests
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

unknown

(0%)

Domain Information

The domain 'digitaldome.wits.ac.za' uses the South African country-code top-level domain (.ac.za) and includes subdomain 'digitaldome'. The core label 'wits' covers 4 characters containing one vowel alongside 3 consonants. Breaking it apart gives 1 word: wits. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://digitaldome.wits.ac.za/media/wits-university/digital-dome/documents/Phases%20of%20the%20Moon%20for%202026.pdf

Page Load Overview

11.06s
Total Load Time
2
HTTP Requests
1
Domains
181 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.141.13.50Johannesburg, Gauteng, South Africa
AS2018TENET-1
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DE0C0E192E31C06D0867BF18DD8E15C453242CC62EB0B1536D9B179E10F0B00813BEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxO96v6OqoXssF/uBKTR2mwGd6Oq2rwneFy+RU3tZoOk7EcKqmwGL:haxPvpXMKopOGn55te7LI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:592bd42cc3d37b4bdf03d270b460970c

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9e6dfb6561616121
Difference Hash:303030b4b4b4b4b0
Wavelet Hash:1c9e1e1e1e1e1e1e
Color Hash:#79d2bf

Scan History

Scan history not available

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