Security Scan Report: ui.edu.ng

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 4 domains to perform 28 HTTP transactions. The main domain is ui.edu.ng and was registered 17 years ago.

Submitted URL: https://ui.edu.ng

The Cisco Umbrella rank of the primary domain is #689,843 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

3
Risk Score

This is the genuine, 17-year-old University of Ibadan site with no forms, malware or phishing signals; only injected spam/gambling link text and one unverified third-party host report lower confidence.

Risk Factors (2)
Spam/SEO link-injection text (gambling and backlink-network domains) present in the page body, suggesting an outdated or partially compromised CMS
Outbound link to paulesi.org.ng, which carries a single-source, unverified malicious-host report
Safety Factors (5)
Official, well-established university domain (17 years old) matching its own brand and title
Zero forms, zero password/payment fields, no credential harvesting of any kind
No JavaScript malware patterns, no native-hunting rule high-precision hits, no IDS alerts, no known phishing kit
Educational/institutional content (faculties, admissions, centres) consistent with a real university portal
External resources limited to Google Fonts and one low-reputation backlink domain
Domain age information unavailable

Details

Page Title

Home | UNIVERSITY OF IBADAN

Scan Type

public

Domain Name Analysis

Domain 'ui.edu.ng' uses the Nigerian country-code top-level domain (.edu.ng) while skipping any subdomain. Its registrable label 'ui' stretches across 2 characters split between two vowels and 0 consonants. Segmentation suggests 1 word: ui. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ui.edu.ng

Page Load Overview

1.28s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,532 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning74% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
74%
education
45%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
835.174.94.104Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4142.251.110.94Google · CDNUnited States
AS15169Google LLC
4104.26.9.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4174.129.77.82Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
4104.26.8.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
286--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B13827118F9257A0283A1C225307338BA939547EB87A985B2FD574DDFC6F81CE6321E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:rbt9rMP1Rd4IFDmy9Kvy4TgvBkENifW6FX82dQJsYjWCj+vIHzcwh5ohx:r59yd4IFDmy9Kvy6gvmENifHFX82dQJS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43480:BHAAAgYAABFQjAZoFA1ooAABXJKhgQMkA5AGJclpJzEKFgIANKLF4XARMKQTyBiUQxJwQZDRHQjgAMUsAECihABJlAg6kEAF

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:fefefefeffffffff
Perceptual Hash:d55555aaaa5554aa
Difference Hash:0000000000000000
Wavelet Hash:0e0e0e0e0e0e0e0e
Color Hash:N/A

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data