ScanMalware.com

Security Scan Report: www.mrtb.gov.ng

Redirected to:
https://www.mrtb.gov.ng/en/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/708b13a5-ae7d-483a-8196-067717cdf764Domain and IP registration (RDAP)/api/v1/rdap/708b13a5-ae7d-483a-8196-067717cdf764How often this domain was scanned/api/v1/domain/stats/mrtb.gov.ngScan history for this domain/api/v1/domain/history/mrtb.gov.ng?limit=15
This website contacted 4 IPs in 1 country across 4 domains to perform 33 HTTP transactions. The main domain is mrtb.gov.ng.

Submitted URL: https://www.mrtb.gov.ng

Effective URL:
https://www.mrtb.gov.ng/en/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Official-looking Nigerian government rehabilitation board site on its own .gov.ng domain, with no forms, no brand impersonation and no content-malware signals. Only a single-source generic abuse-reputation tag, which does not reflect page content.

Safety Factors (4)
Nigerian .gov.ng domain consistent with the claimed agency's own brand (self-branding, not impersonation)
Zero credential or payment forms on the page
No malware, YARA, IDS, or Safe Browsing evidence
Popular, ranked third-party script hosts only (Google APIs/Fonts)
Domain age information unavailable

Details

Page Title

Medical Rehabilitation Therapists (Registration) Board of Nigeria - Medical Rehabilitation Therapists (Registration) Board of Nigeria (MRTB)

Scan Type

public

Domain Name Analysis

The domain 'www.mrtb.gov.ng' uses the Nigerian country-code top-level domain (.gov.ng); it also runs on subdomain 'www'. The registrable portion 'mrtb' spans 4 characters holding zero vowels versus four consonants. Segmentation suggests 2 words: mrt, b. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.06s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,870 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
92%
healthcare medical
53%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.250.146.102United States
AS53850GorillaServers, Inc.
8142.251.13.95Google · CDNUnited States
AS15169Google LLC
8142.251.20.95Google · CDNUnited States
AS15169Google LLC
8142.251.14.94Google · CDNUnited States
AS15169Google LLC
334--

Detected Technologies7

MetaGenerator
100%
JQueryv3.6.4
100%
MySQL
50%
PHPv7.4.33
40%
Nginx
40%
Google Hosted Libraries
20%
Cloudrexx
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15003A6A155DA2137022381D6667AA76AF8E39417EE0E1401F2FD07F98FC5DC39E2319E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KGiAAO64Azs+QFNrdTCneC5Ux7dGhmHdmVBHCxtcymCLcZsLQlnDmcPXdP1:KGiAAOLAYF94eMAgCFUlDmcPXdP1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40054:gGDAMSIoAIQOCURAAEAURUiGYCISR4CQIiD6hJE0EAGEpQkAjglIeCC4QjUDHHY4GE0CASTEBwEDAPJABAsAHR+AQADIIK6w

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:00efc1c1e1e1ffff
Perceptual Hash:e93996264c19637e
Difference Hash:349b1b1303473626
Wavelet Hash:00e1c1c181e1ffff
Color Hash:#4fbf40

Other Hashes

Crop Resistant:349b1b1303473626,010339cccccc1301,ececb343c1544c4e

Scan History

Scan history not available

Unable to load historical scan data