Security Scan Report: uniabjpoliticalsciencejournals.com.ng

Redirected to:
https://uniabjpoliticalsciencejournals.com.ng/mein-emmental/download.h...
Submitted: Sep 29, 2026, 7:50:02 AMCompleted: Sep 29, 2026, 7:50:39 AMpubliccompleted

This website contacted 6 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: 87%

8
Risk Score

Established journal domain now serving an Adobe-branded fake 'secured document' download lure, matching a multi-feed phishing report. Do not click any download links.

Risk Factors (5)
Multi-feed phishing threat-intelligence match on the primary domain
Brand impersonation of Adobe on a non-Adobe domain
Deceptive document-download lure with no legitimate publisher content
External IP lookup telemetry (ipify.org) contacted by page code
Legitimate academic domain apparently repurposed/hijacked for a lure
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 split between 13 vowels and 17 consonants. Segmentation suggests 6 words: uni, a, bj, political, science, journals. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.82s
Total Load Time
152 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

technology software50% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
50%
documentation technical
49%
healthcare medical
41%
news media journalism
40%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4147.124.214.15Dallas, Texas, United States
AS396073Majestic Hosting Solutions, LLC
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

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:#6ccee0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data