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Security Scan Report: n2cknem.github.io

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/d42662aa-0323-4011-8ea8-1bfdbfec082bDomain and IP registration (RDAP)/api/v1/rdap/d42662aa-0323-4011-8ea8-1bfdbfec082bHow often this domain was scanned/api/v1/domain/stats/n2cknem.github.ioScan history for this domain/api/v1/domain/history/n2cknem.github.io?limit=15
This website contacted 4 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://n2cknem.github.io/microsoft/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Microsoft sign-in page on a free github.io subdomain using Microsoft's favicon and branding, harvesting account emails and linking to a password.html credential-capture step. Do not enter credentials.

Risk Factors (5)
Brand impersonation of Microsoft on a non-Microsoft domain
Credential-collection form (email/username) feeding into a password capture page
Hosted on a free shared-hosting subdomain (github.io) with unknown page age
Use of Microsoft's favicon and auth CDN assets to lend false authenticity
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

사용자 계정 로그인

Scan Type

public

Domain Name Analysis

The domain name 'n2cknem.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'n2cknem'. Count 6 characters in 'github' holding 2 vowels versus 4 consonants. Tokenizing the label suggests 3 words: g, it, hub. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

HE Microsoft =e AAO), MBE EL skype ABO Boal7ta? Awe eH! Bol AOR 27018 + BSLIn? Az AGO 7HolaerataletAl a! glxraiworgoras E

Page Load Overview

0.34s
Total Load Time
35 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

HTML Lang Attribute:ko
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
123.200.24.170Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
1185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
54--

Detected Technologies6

X-UA-Compatible
100%
Varnish
40%
HSTS
40%
GitHub Pages
40%
Fastly
40%
Ghost
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19922412178F211662182C5847BE17FA63F68D603DB098AB4799C1BD44FD3E87CD672A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:X4nAl1bNSG7OJIsQ2fTuXoa/iTqkUllJPjUyqPjYDa0dgwhdvj6HGYUQO/fynh4:EALbN17RCwR/iMLJ8aqYF5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10524:k0EVgWVCIa8TW0GACYVoqmigSAQIEVCGApsQ6MSClsACpAADAiCyEVWQAIgDVEAeEPFAoRmQVSbHiALDrANaZraCiBMCkJCE

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:0000393b37373737
Perceptual Hash:865954665399766e
Difference Hash:88e4f2dbede5e7e4
Wavelet Hash:00003b3b373f373f
Color Hash:N/A

Other Hashes

Crop Resistant:88e4f2dbede5e7e4

Scan History

Scan history not available

Unable to load historical scan data