Security Scan Report: custom-apps.cubicl.io

Submitted: Mar 18, 2026, 11:55:24 AMCompleted: Mar 18, 2026, 11:56:56 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is custom-apps.cubicl.io and was registered NaN years ago.

Submitted URL: https://custom-apps.cubicl.io/activities

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: 'Page Not Found!' 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

Page Not Found!

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

news media journalism

(56%)

Domain Information

The domain 'custom-apps.cubicl.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'custom-apps'. The second-level label 'cubicl' is 6 characters long split between two vowels and 4 consonants. Breaking it apart gives 2 words: cubic, l. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://custom-apps.cubicl.io/activities

Page Load Overview

6.81s
Total Load Time
10
HTTP Requests
2
Domains
49 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:159 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism56% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
56%
real estate property
51%
healthcare medical
49%
government public service
43%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.140.170United States
AS15169Google LLC
552.29.227.87Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
102--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DE186699F4D0546961A05A57FF833E4042D88228EA30DFFBEB239B587C95CC131BB65

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:tp9bNJFsRIdwBphRtvhRpkhRLZ1RzSosPvNXFNEIuhuxfrQu4+W7fligD08Q/rkS:7jnhKfku4RzD+j6voKsu/Edv8t5mgCX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7042:EBEAXhilDEAICBIlNgInBAGhIYEEdABCRYFRcSE2hGvmIQUIgABACABMIGwmERPtiQQCkGHMcSAikLwwQjCAIhAkS3wATgAi

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:000018387e7e7e7e
Perceptual Hash:9c696336634f94c9
Difference Hash:68d0b0f0f0f4f0f0
Wavelet Hash:0000183c7e7eff7e
Color Hash:#ac5360

Scan History

Scan history not available

Unable to load historical scan data