ScanMalware.com

Security Scan Report: lundayalsman259.github.io

Submitted: May 7, 2026, 2:39:01 PMCompleted: May 7, 2026, 2:40:31 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is lundayalsman259.github.io and was registered NaN years ago.

Submitted URL: https://lundayalsman259.github.io/html/

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Site shows no direct malicious activity but unknown subdomain age and low reputation merit cautious handling.

Risk Factors
Subdomain creation date unknown – could be brand‑new
Low domain ranking suggests limited reputation
Page title and OCR text provide no clear legitimate purpose
Safety Factors
No credential or payment collection forms
No malicious scripts or obfuscation detected
No external malicious links or domains
No network‑level IDS alerts
Content could not be fetched – no obvious malicious payload
Domain age information unavailable

Details

Page Title

確認ページ

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

government public service

(26%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'lundayalsman259.github.io' is registered; it also runs on subdomain 'lundayalsman259'. Its registrable label 'github' stretches across 6 characters with 2 vowels and four consonants. Word splitting yields 3 words: g, it, hub. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lundayalsman259.github.io/html/

Page Load Overview

0.33s
Total Load Time
3
HTTP Requests
2
Domains
10 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:89 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service26% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.108.153United States
AS54113Fastly, Inc.
123.52.180.26Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
32--

Detected Technologies3

HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1664161F7429451127922C82016938A8937A88803D64BD938BFFCB09CDF518CBDA6331C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:dHJiVmCMJFfKZqEXS551tqs7RfhYsK2HvJXc4KpYBHTEV:dHKmC0SqEC71z7RfhA2hsOBHTEV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2216:AIAwKQgFGIYgMQIBEAAAgADAAAAAEAAAgACAIEACAAgADAAQAAAAABAAAKoBABACgAQCAIAABQBAYQQAChAMAEoUAjAAAAAB

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:00ffffffe7e7ff00
Perceptual Hash:e6cc993366cc4c33
Difference Hash:000008284d0c3008
Wavelet Hash:003bfff7e7e70000
Color Hash:#2d8676

Other Hashes

Crop Resistant:000008284d0c3008

Scan History

Scan history not available

Unable to load historical scan data