ScanMalware.com

Security Scan Report: www.mrtb.gov.ng

Submitted: Sep 14, 2026, 10:47:52 PMCompleted: Sep 14, 2026, 10:49:15 PMpubliccompleted

Summary

This website contacted 7 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is mrtb.gov.ng and was registered 29 years ago.

Submitted URL: https://www.mrtb.gov.ng/apps/attvpn.vip

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Legitimate Nigerian government site (MRTB) serving its own 404 page; the odd /apps/attvpn.vip path contains no content, no forms, and no threat-intel hits.

Risk Factors
Requested URL path contains an unrelated third-party domain string (/apps/attvpn.vip) which resolves to a 404 rather than real content
Safety Factors
18-year-old established government domain
Official government branding matching the domain (self-branding)
No credential or payment forms present
No threat-intelligence, YARA, or IDS matches
Page returns a genuine not-found error with no injected or obfuscated content
Domain age information unavailable

Details

Page Title

Medical Rehabilitation Therapists (Registration) Board of Nigeria - Seite nicht gefunden

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the Nigerian country-code top-level domain (.gov.ng), 'www.mrtb.gov.ng' is registered and includes subdomain 'www'. Its registrable label 'mrtb' stretches across 4 characters with 0 vowels and 4 consonants. Splitting it apart reveals 2 words: mrt, b. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mrtb.gov.ng/apps/attvpn.vip

Page Load Overview

4.80s
Total Load Time
22
HTTP Requests
6
Domains
327 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:2,917 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
46%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
3104.250.146.102United States
AS53850GorillaServers, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.127.95Google · CDNUnited States
AS15169Google LLC
3157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
227--

Page Statistics

22
Requests
6
Unique Domains
358.9 KB
Total Size

Detected Technologies4

MetaGenerator
100%
JQueryv3.6.4
100%
HSTS
40%
Google Hosted Libraries
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B21127318A8481E23109252E8C1F035EC669537AB085990F0CA15FECFF0BC781D3A1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hVkHCrYCowJti5IgRoN/KN/lLZa5Ii7t8d3NVG:bNr4IAoNSN/a5IiIO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1123:EMABAgAAAIgAAAAAAAAAAAAAAgEAAAAIAAAAIAABAAFAgAIDAIABAAAAAAQCQAAAAAwAAACAACCAAwQAgAAQAQIAAAAAAAAA

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:00ffffffffffdf00
Perceptual Hash:9e9463bc63bc4316
Difference Hash:17b0f822282423d1
Wavelet Hash:001c1cff9f9f9f00
Color Hash:#d27995

Other Hashes

Crop Resistant:17b0f822282423d1,010339cccccc1301,4022d0d0d2ccdcd4

Scan History

Scan history not available

Unable to load historical scan data