Security Scan Report: riikunlogapps-github-io.pages.dev

Redirected to:
https://riikunlogapps-github-io.pages.dev/
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Submitted: Aug 30, 2026, 4:05:54 PMCompleted: Aug 30, 2026, 4:07:14 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is riikunlogapps-github-io.pages.dev and was registered 6 years ago.

Submitted URL: https://riikunlogapps-github-io.pages.dev/index.html

Effective URL:

https://riikunlogapps-github-io.pages.dev/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The page shows no malicious forms, IoCs, or malware; overall low risk.

Safety Factors (2)
Hosted on a standard Vercel/Pages.dev subdomain
No external domains or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'riikunlogapps-github-io.pages.dev' is registered, featuring subdomain 'riikunlogapps-github-io'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://riikunlogapps-github-io.pages.dev/index.html

Page Load Overview

0.53s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:60%
Script:Mixed
Direction:ltr

Detection Details

Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
92%
technology software
82%
cryptocurrency blockchain
79%
news media journalism
68%
e-commerce shopping
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF219DAF08E0042E418451CA69342B686EAB49DFF14A5C84B0DC3C75AF40D9A86820F5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hah7gCyVXIsJ2HtYvhwvJlhJ+X+V9kn8J630IT+xFI2jCBpWtnjTK3:QEXJEYKJfJYaC8JE04krmgn3K3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1248:ABsEAIA4ACIAACAEAAEQAIAAAAAAAAAAAAAgBAhCAAAAAAACAAAAAYQAAAAACAAAJAAAAAAAAAAwCAAAIQBEAAAAAAACIgAA

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:e6e6e6e6e6e6e7e7
Perceptual Hash:f755882277a2e6a2
Difference Hash:0808080808080808
Wavelet Hash:e666e6660044e7e7
Color Hash:#2dd288

Other Hashes

Crop Resistant:0808080808080808

Scan History

Scan history not available

Unable to load historical scan data