Security Scan Report: ayushcoder894.github.io

Redirected to:
https://ayushcoder894.github.io/microsoft-login-clone/
Site favicon
Submitted: Jul 12, 2026, 12:45:27 PMCompleted: Jul 12, 2026, 12:48:08 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ayushcoder894.github.io and was registered NaN years ago.

Submitted URL: http://ayushcoder894.github.io/microsoft-login-clone

Effective URL: https://ayushcoder894.github.io/microsoft-login-clone/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

High‑confidence credential phishing site impersonating Microsoft; avoid and report.

Risk Factors
Unranked subdomain on hosting platform (github.io) with unknown creation date
Brand impersonation of Microsoft
Credential collection form on unrelated domain
Safe Browsing social engineering threat
Domain age information unavailable

Details

Page Title

Sign in to your Microsoft account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(88%)

Domain Information

The domain 'ayushcoder894.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'ayushcoder894'. The second-level label 'github' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives three words: g, it, hub. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ayushcoder894.github.io/microsoft-login-clone

Page Load Overview

19.31s
Total Load Time
14
HTTP Requests
2
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:699 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
88%
technology software
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14185.199.111.153United States
AS54113Fastly, Inc.
141--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D81FF6060F92473018390C735A62F1ABEE08917CA5E2508B5FC5ADC6FE7E41DC5357D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ntZtOdtKiozicWB2aRQ3AVZ+gKZejJDZ3tkc:njtEozicWoQVZ+LSzkc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3830:EAIAQViAABgQHA6QAAJAIFAAAIACAAUAAIAaIwJBAICWJKoBAAgAAggEIBCIAkACEIhAFAAoAGACASKwEAE4ADgMIAAAAECg

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:18003c3f363e1c1c
Perceptual Hash:8ef93026c699d966
Difference Hash:7168707064706160
Wavelet Hash:1c043f3f363e1c3c
Color Hash:#5366ac

Other Hashes

Crop Resistant:7168707064706160

Scan History

Scan history not available

Unable to load historical scan data