Security Scan Report: splitscreen-adopt.applearn.tv

Submitted: Mar 17, 2026, 11:40:50 PMCompleted: Mar 17, 2026, 11:42:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is splitscreen-adopt.applearn.tv and was registered NaN years ago.

Submitted URL: https://splitscreen-adopt.applearn.tv

The Cisco Umbrella rank of the primary domain is #31,980 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(30%)

Domain Information

Domain 'splitscreen-adopt.applearn.tv' uses the .tv country-code top-level domain and includes subdomain 'splitscreen-adopt'. Count 8 characters in 'applearn' holding three vowels versus five consonants. Segmentation suggests two words: app, learn. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://splitscreen-adopt.applearn.tv

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:496 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical30% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
30%
cryptocurrency blockchain
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.174.46.16United States
AS16509Amazon.com, Inc.
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1905196A1E99318761137C9E116FF672632EAC037D19A6210FA9C9398DFCDD41B821901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9ak1ncqugukVPANyAgN+LFFNKwertF:niFWN15AN427zlczgumPANhgNSLNner7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2856:BCAAMAAEAAAABAAAGAEAoIQABEgIAAAgIAAQIAADC4EBBAIAAEKYARJAACAEgAVAABACAgAAEAlAACAiCABAAAAAAIACAGAJ

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:001fffffffffffff
Perceptual Hash:880c0d0d1d1f3f7f
Difference Hash:f0e0000000000000
Wavelet Hash:000fffff00000000
Color Hash:#878dc5

Other Hashes

Crop Resistant:f0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data