Security Scan Report: uniabjpoliticalsciencejournals.com.ng

Redirected to:
https://uniabjpoliticalsciencejournals.com.ng/mein-emmental/download.h...
Submitted: Oct 13, 2026, 9:50:18 AMCompleted: Oct 13, 2026, 9:50:54 AMpubliccompleted

This website contacted 7 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is uniabjpoliticalsciencejournals.com.ng and was registered 18 years ago.

Submitted URL: https://uniabjpoliticalsciencejournals.com.ng/mein-emmental/

Effective URL:

https://uniabjpoliticalsciencejournals.com.ng/mein-emmental/download.h...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Aged .com.ng university-journal domain now serving a fake 'Download Complete' document lure and flagged as phishing by two independent feeds — a malware-delivery page. Do not download or open the offered file.

Risk Factors (4)
Multi-feed phishing threat-intelligence match on the primary domain (content-malware type)
Deceptive fake 'Download Complete' document-delivery page on a domain with no matching legitimate content
External IP lookup calls (api.ipify.org) triggered a CRITICAL IDS alert
Single-source 'known attacker' URL report (unverified community submission)
Domain age information unavailable

Details

Page Title

Background Image Page

Scan Type

public

Domain Name Analysis

The domain name 'uniabjpoliticalsciencejournals.com.ng' uses the Nigerian country-code top-level domain (.com.ng) and has no subdomain. The core label 'uniabjpoliticalsciencejournals' covers 30 characters with 13 vowels and 17 consonants. Tokenizing the label suggests six words: uni, a, bj, political, science, journals. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uniabjpoliticalsciencejournals.com.ng/mein-emmental/

Page Load Overview

3.02s
Total Load Time
154 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:308 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical33% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
33%
healthcare medical
32%
news media journalism
30%
government public service
27%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3147.124.214.15Dallas, Texas, United States
AS396073Majestic Hosting Solutions, LLC
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
97--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E461525BA9F3045B390790716BF36B062665C003D20ACA593FBD72E8CF85A9594B73CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBr+5LMAFtyizQfYn9lPh7TsFWt3tWyN8y7euXDc:TBr0z9zQfk9lFoFWt3tWyneuXDc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3285:EAiBIcAbCAIAIAgEAIACAIBAAVAAZJAIAAIABBgsFgBCUAAQgCADICAIUGICAEBABQQYAggAACASBkOAIhAAAEAACAAABQAg

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:00003c3c3c3c0000
Perceptual Hash:99cc663399cccc99
Difference Hash:0430b2b2322a3004
Wavelet Hash:00003c3cfcfcc0f0
Color Hash:#6640bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data