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Security Scan Report: www.gorillaugandasafaris.com

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Submitted: Sep 4, 2026, 11:47:22 AMCompleted: Sep 4, 2026, 11:49:02 AMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/4813b4c8-8914-46bf-8333-34b07197360bDomain and IP registration (RDAP)/api/v1/rdap/4813b4c8-8914-46bf-8333-34b07197360bCertificate Transparency/api/v1/ct/gorillaugandasafaris.comHow often this domain was scanned/api/v1/domain/stats/gorillaugandasafaris.comScan history for this domain/api/v1/domain/history/gorillaugandasafaris.com?limit=15

This website contacted 10 IPs in 1 country across 9 domains to perform 63 HTTP transactions. The main domain is gorillaugandasafaris.com and was registered 29 years ago.

Submitted URL: https://www.gorillaugandasafaris.com/namibia/namibia-vs-south-africa-safari/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page appears to be a legitimate travel article with no malicious indicators.

Safety Factors (3)
Well‑established domain with long registration history
No malicious signals from IDS, YARA, or threat intel
Content is travel‑related article without phishing cues
Domain age information unavailable

Details

Page Title

Namibia Vs South Africa Safari - Gorilla Trekking Uganda

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.gorillaugandasafaris.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'gorillaugandasafaris' covers 20 characters holding 9 vowels versus 11 consonants. It segments into three words: gorilla, uganda, safaris. Expect seven characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gorillaugandasafaris.com/namibia/namibia-vs-south-africa-safari/

Page Load Overview

4.26s
Total Load Time
1.7 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:29,577 chars
Detector Agreement:80%

Website Classification

Primary Category

travel tourism52% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
52%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.250.154.95Google · CDNUnited States
AS15169Google LLC
6142.251.14.97Google · CDNUnited States
AS15169Google LLC
663.250.38.78United States
AS22612Namecheap, Inc.
6142.250.154.94Google · CDNUnited States
AS15169Google LLC
6142.250.154.149Google · CDNUnited States
AS15169Google LLC
6142.251.127.155Google · CDNUnited States
AS15169Google LLC
6216.239.34.36Google · CDNUnited States
AS15169Google LLC
6142.251.150.119Google · CDNUnited States
AS15169Google LLC
6142.251.20.94Google · CDNUnited States
AS15169Google LLC
6142.251.156.119Google · CDNUnited States
AS15169Google LLC
6310--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192C162BF200D8C0F5A60B714BF207B0DC24B6C16E77ADAE6FCA5035E5AE57E620E6511

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:v+7lVFra+ii+1LwXy0h9VOeqXKzhqhql6zN:vYa+ii+1LwXy0ZzdsN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5627:SUAJQoNqMRCwwgEAQrMQAwOICEQJgQEgUAOAJgEAAMIIkU4KgAABEAAZDIdkICDDAAAHGkwIEJKAEpQHVGIoIIQJAsxkIgYH

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:0000000001ffffff
Perceptual Hash:ec0694b66b12d92f
Difference Hash:c4a7f35323322e32
Wavelet Hash:00b3000091ffffff
Color Hash:#1f9353

Other Hashes

Crop Resistant:c4a7f35323322e32,e2ca5ab51290b651,e4e4112196d4d427,c6b7b2cad3336733

Scan History

Scan history not available

Unable to load historical scan data