Security Scan Report: orchidlands.net

Redirected to: https://orchidlands.net/

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Submitted: Jan 9, 2026, 8:26:30 PMCompleted: Jan 9, 2026, 8:27:47 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 18 HTTP transactions. The main domain is orchidlands.net and was registered NaN years ago.

Submitted URL: http://orchidlands.net/

Effective URL: https://orchidlands.net/Redirected

AI Security Verdict

Low Risk

Confidence: 85%

1
Risk Score

New domain with no malicious signs; low risk but monitor for future changes.

Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise
No external links or redirects to suspicious domains
Domain age information unavailable

Details

Page Title

OrchidLands - Premium Orchid Delivery

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(61%)

Domain Information

You're looking at domain 'orchidlands.net' on the network infrastructure generic top-level domain (.net). Count 11 characters in 'orchidlands' containing three vowels alongside eight consonants. Splitting it apart reveals 2 words: orchid, lands. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://orchidlands.net/

Page Load Overview

4.84s
Total Load Time
21
HTTP Requests
1
Domains
19.4 MB
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:2,484 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network61% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
61%
e-commerce shopping
54%
adult content
50%
healthcare medical
35%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2113.32.121.102New York, New York, United States
AS16509AMAZON-02
211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16263B774730C3A3D682B87E0F794BB28532DE181FF5B9468A16D106567C7DC8BC67A84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:webx/c64Jysq7vOqqqqoqqqqwqqqqSuqqqqyAqqqqqqqqq5bqRHza1sl:weV3bWTim

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72848:YCWBAiBCSQMkBmYSijaE5AfBgCCGu96hkZQAHgZFSIZAwHKBqCgsCBdHFyFiQABYGeEDEEUWQUAIlgNhkJoESCnMRBINCsEB

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:ff0000080003ffff
Perceptual Hash:8d12e582cfe932ec
Difference Hash:49393b73739f1636
Wavelet Hash:ff000008181fffff
Color Hash:#93461f

Scan History

Scan history not available

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