ScanMalware.com

Security Scan Report: amandala.com.bz

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/765a6467-5121-460b-b00a-2fab730d6343Domain and IP registration (RDAP)/api/v1/rdap/765a6467-5121-460b-b00a-2fab730d6343How often this domain was scanned/api/v1/domain/stats/amandala.com.bzScan history for this domain/api/v1/domain/history/amandala.com.bz?limit=15
This website contacted 12 IPs in 1 country across 7 domains to perform 95 HTTP transactions. The main domain is amandala.com.bz.

Submitted URL: https://amandala.com.bz/news/belize-football-fans-patient-and-long-suffering/

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Established Belizean newspaper domain with self-branded news content and same-site subscriber login forms. No impersonation, malware, phishing, or threat-intel evidence found.

Safety Factors (5)
Well-established domain over 2 years old
Physical address visible
Self-branding matches the domain rather than impersonating another brand
No credential exfiltration detected
External scripts are common analytics/advertising and font resources
Domain age information unavailable

Details

Page Title

Belize football fans, patient and long-suffering | Amandala Newspaper

Scan Type

public

Domain Name Analysis

Domain 'amandala.com.bz' uses the Belizean country-code top-level domain (.com.bz). Count 8 characters in 'amandala' with four vowels and 4 consonants. Splitting it apart reveals 2 words: a, mandala. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amandala.com.bz/news/belize-football-fans-patient-and-long-suffering/

Page Load Overview

5.33s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:12,212 chars
Detector Agreement:75%

Website Classification

Primary Category

social_media50% confidence
Type: spa
Method: structural

All Detected Categories

social_media
50%
news/blog
40%
forum
40%

Detected Features

Login Form
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.21.27.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.110.95Google · CDNUnited States
AS15169Google LLC
7142.251.14.155Google · CDNUnited States
AS15169Google LLC
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
7142.251.127.157Google · CDNUnited States
AS15169Google LLC
7142.251.13.132Google · CDNUnited States
AS15169Google LLC
7172.67.141.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.14.154Google · CDNUnited States
AS15169Google LLC
9512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D384E8736864243AB6174398B084F77867DA7091E7CD0FD8F66EDF584BC2B9182B3249

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:259iAShAbA03A4VCWG6KKKQF6KFvSBGsq2B+2Z0soszhRD4v:Y90z4VCWGEH0qvgPO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:385001:AQWERgVgCJToLuLIfmmYCASEVGoRtkwhuRICAFEuPyccukCLA1ICOQCrkUMBgIAgaBxBAgIrgAIKmLUqwAAskV2Aw83WOBAI

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:ef8383c3efdfdfc7
Perceptual Hash:b867c7c7c3983834
Difference Hash:4a363f3f9c12b0bf
Wavelet Hash:e6838381c3cfdf81
Color Hash:#ac539c

Other Hashes

Crop Resistant:4a363f3f9c12b0bf,b193990c18b88cc9

Scan History

Scan history not available

Unable to load historical scan data