Security Scan Report: enterpriseregistration.snac.unimelb.edu.au

Submitted: Dec 21, 2025, 1:54:29 AMCompleted: Dec 21, 2025, 1:55:21 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is enterpriseregistration.snac.unimelb.edu.au and was registered NaN years ago.

Submitted URL: https://enterpriseregistration.snac.unimelb.edu.au

The Cisco Umbrella rank of the primary domain is #133,608 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 90%

2
Risk Score

Site appears legitimate but has an SSL certificate error; proceed cautiously.

Risk Factors
Invalid SSL/TLS certificate (certificate name mismatch)
Low Cisco Umbrella ranking (133,608) for a subdomain
Safety Factors
Belongs to a recognized educational institution (unimelb.edu.au)
Domain age > 1 year
No credential or payment forms detected
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(71%)

Domain Information

Within the Australian country-code top-level domain (.edu.au), 'enterpriseregistration.snac.unimelb.edu.au' is registered, featuring subdomain 'enterpriseregistration.snac'. The registrable portion 'unimelb' spans 7 characters holding 3 vowels versus four consonants. Word splitting yields three words: uni, mel, b. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enterpriseregistration.snac.unimelb.edu.au

Page Load Overview

6.60s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:101 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical71% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
71%
technology software
49%
news media journalism
45%
education
45%
healthcare medical
41%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196D3BF6215E50A7F091B44D773DB35483B686083A643ED93F6BCB8409F8F67824A2BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BmqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK3UUPhrCTd8:TWWxAwZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141901:aDWJA8KhQgCQCpgNhRshZAEhdJ9wA4gCtA6sAjAvFCSEEwEAAAoc4VAAB4jwHSkyARqIcpiCKFgsKAOEQuLQAJUgCno9QsgC

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:ff3f07039f81fdfc
Perceptual Hash:9aa5caa55a347ed0
Difference Hash:c0d06f1d38172149
Wavelet Hash:7f3f03001f00ff3c
Color Hash:#7740bf

Other Hashes

Crop Resistant:c0d06f1d38172149

Scan History

Scan history not available

Unable to load historical scan data