Security Scan Report: inafrica.travel

Redirected to:
https://inafrica.travel/destination/malawi?locale=en
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Submitted: Completed: publiccompleted
This website contacted 86 IPs in 3 countries across 20 domains to perform 107 HTTP transactions. The main domain is inafrica.travel and was registered 5 years ago.

Submitted URL: https://inafrica.travel/destination/malawi

Effective URL:
https://inafrica.travel/destination/malawi?locale=en
Redirected

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site contains suspicious password fields; treat as high‑risk phishing.

Risk Factors (3)
Disguised password field (type='text' with password placeholder)
Hidden password field
Unicode evasion in form fields
Domain age information unavailable

Details

Page Title

Malawi

Scan Type

public

Domain Name Analysis

Domain 'inafrica.travel' uses the .travel top-level domain while skipping any subdomain. The core label 'inafrica' covers 8 characters holding 4 vowels versus four consonants. It segments into two words: in, africa. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inafrica.travel/destination/malawi

Page Load Overview

13.56s
Total Load Time
6.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,719 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service33% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
33%
travel tourism
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.5.81.129Boardman, Oregon, United States
AS16509AMAZON-02
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
13.5.86.159Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.185.202United States
AS15169GOOGLE
152.92.152.50Boardman, Oregon, United States
AS16509AMAZON-02
113.32.121.123New York, New York, United States
AS16509AMAZON-02
1142.250.184.195United States
AS15169GOOGLE
1142.250.185.78United States
AS15169GOOGLE
154.148.93.126Boardman, Oregon, United States
AS16509AMAZON-02
113.32.121.50New York, New York, United States
AS16509AMAZON-02
10786--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E064E520E7062D3B0267C9E6E490BF09799DD37BC5024804FBE9511C8FDBE9465EE63A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:G5bGEYXUaEh9rZY9BJGAxHvLg+H5ZChsOiXb5vtuEzxA7Z:oYEarZ4s16

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:333497:hQSzicYcGAjkAAY1lEKroQJEuYkIJaAAogmQAUBAQFeiQcAQBKAGUz4pWQCeKwoIaUEDAmYQVgoBAIKNcBMQiYjsSCgFEkME

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:ff00000000ffffff
Perceptual Hash:bc0981d35aeccdac
Difference Hash:bbff37232d000e3e
Wavelet Hash:ff00000000ffffff
Color Hash:#2d8684

Scan History

Scan history not available

Unable to load historical scan data