Security Scan Report: ui.fcesoyo.edu.ng

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Submitted: Jan 31, 2026, 4:24:37 PMCompleted: Jan 31, 2026, 4:25:38 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 18 HTTP transactions. The main domain is ui.fcesoyo.edu.ng.

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

The Cisco Umbrella rank of the primary domain is #293,571 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

High risk – credential form on unknown‑age domain; verify legitimacy before entering any credentials.

Risk Factors
Credential‑harvesting form on a domain with unknown age
Domain age cannot be verified, increasing suspicion
Low reputation ranking for a site presenting official educational services
Domain age information unavailable

Details

Page Title

Home Page

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'ui.fcesoyo.edu.ng' on the Nigerian country-code top-level domain (.edu.ng) and includes subdomain 'ui'. Its registrable label 'fcesoyo' stretches across 7 characters holding three vowels versus four consonants. Word splitting yields 3 words: fce, so, yo. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.30s
Total Load Time
18
HTTP Requests
1
Domains
120 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:2,851 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18192.250.231.22United Kingdom
AS14670WHG Hosting Services Ltd
181--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDD2D703ADE34445343384A5B76BBB982F19810BD207CD50BADD26A89FC6DF657A338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:AJnMsehzJT7PYq9jGpJYzbIwcHQIO9dk8jXVpreZDILkJqnzMDXDB1VbmMero2Xm:0UhrjGc3IwcHQHjLroezMDXlFlF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29911:FcgQAAEAYiM4C0o0oFIgI4QAo0NshhnEwmIgDAACVYMlAIFQA8AUBsSQKyBKglPQMK18MQgUCCGQAQCKAcwueBSUSGAlQCQo

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:003c3c3cffffffff
Perceptual Hash:931b4d6565613979
Difference Hash:696979494c1e0c00
Wavelet Hash:00000c2427ffffff
Color Hash:#40bf84

Other Hashes

Crop Resistant:696979494c1e0c00

Scan History

Scan history not available

Unable to load historical scan data