Security Scan Report: uniabjpoliticalsciencejournals.com.ng

Redirected to:
https://uniabjpoliticalsciencejournals.com.ng/mein-emmental/download.h...
Submitted: Oct 6, 2026, 8:50:07 AMCompleted: Oct 6, 2026, 8:50:41 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: 85%

8
Risk Score

Adobe-branded fake 'Download Complete' document lure hosted on a compromised/abused academic journal domain that is flagged as phishing by two corroborating threat-intel feeds. No credential form, but brand impersonation plus a phishing IoC warrants HIGH_RISK.

Risk Factors (4)
Multi-source phishing threat-intelligence match on the primary domain
Impersonation of Adobe's brand on a non-Adobe domain
Fake 'secured document / download complete' lure typical of phishing and malware-delivery pages
Scanned path uses an unrelated, nonsensical route (/mein-emmental/download.html) on an academic journal domain
Domain age information unavailable

Details

Page Title

Background Image Page

Scan Type

public

Domain Name Analysis

Domain 'uniabjpoliticalsciencejournals.com.ng' uses the Nigerian country-code top-level domain (.com.ng) with no subdomain. The core label 'uniabjpoliticalsciencejournals' covers 30 characters holding 13 vowels versus 17 consonants. Breaking it apart gives 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

1.65s
Total Load Time
154 KB
Total Size

Language Analysis

Primary Language

馃嚭馃嚫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
41%
government public service
38%

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 路 CDNUnited States
AS15169Google LLC
1142.251.13.94Google 路 CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare 路 WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google 路 CDNUnited States
AS15169Google LLC
1142.251.14.94Google 路 CDNUnited States
AS15169Google LLC
1104.26.12.205Cloudflare 路 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:#d0e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data