Security Scan Report: ekiti-east.mlga.ek.gov.ng

Redirected to:
https://ekiti-east.mlga.ek.gov.ng/
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Submitted: May 21, 2026, 6:38:23 AMCompleted: May 21, 2026, 6:39:53 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 17 HTTP transactions. The main domain is ekiti-east.mlga.ek.gov.ng.

Submitted URL: https://ekiti-east.mlga.ek.gov.ng/all-about-vincent-d039onofrio-unveiling/1435940.html

Effective URL: https://ekiti-east.mlga.ek.gov.ng/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site is newly registered and unranked but shows no malicious activity or credential collection, resulting in a low‑risk classification.

Risk Factors
Newly registered domain
Unranked domain reputation
Safety Factors
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(63%)

Domain Information

The domain 'ekiti-east.mlga.ek.gov.ng' uses the Nigerian country-code top-level domain (.gov.ng) and includes subdomain 'ekiti-east.mlga'. Count 2 characters in 'ek' split between 1 vowel and one consonant. Tokenizing the label suggests 1 word: ek. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ekiti-east.mlga.ek.gov.ng/all-about-vincent-d039onofrio-unveiling/1435940.html

Page Load Overview

16.82s
Total Load Time
21
HTTP Requests
10
Domains
247 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,709 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
63%
healthcare medical
54%
finance banking
52%
adult content
49%
government
48%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.156.78United States
AS13335Cloudflare, Inc.
3108.181.23.167Los Angeles, California, United States
AS40676Psychz Networks
3104.20.8.223United States
AS13335Cloudflare, Inc.
3172.240.108.68United States
AS7979Servers.com, Inc.
3142.251.127.95United States
AS15169Google LLC
3142.251.110.94United States
AS15169Google LLC
216--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC92FA7736A4303B1336C091E966BEAC72415087A9A0ACCAF9DDC448DFE7FDA45135AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HlSY0X0BAzN4fGVRmK9Vipx2mORSJ8ZlD/rINIMa8tuqXuL:ZqLmK9Vgx2mORSyZlD/rINIMa8tuqXA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19821:EJ0rIFQpwICZTgQAJKBBABdGwMGMELBFImxAqMABlDgipJwKlA5AoKAeAAELnvIgQIgqAhQqgCAqVUCYRgAAF50BAEhAhwQu

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:ff878787ffff8787
Perceptual Hash:becb32c1c3383a3c
Difference Hash:d12e2e2f2b222f2f
Wavelet Hash:fd83838383fb8383
Color Hash:#7340bf

Scan History

Scan history not available

Unable to load historical scan data