ScanMalware.com

Security Scan Report: shekharscript.github.io

Redirected to:
https://www.aceprepai.me/
Site favicon
Submitted: Sep 17, 2026, 9:47:30 AMCompleted: Sep 17, 2026, 9:47:52 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/d29a7949-1104-4030-9ab9-381e66cb7fd1Domain and IP registration (RDAP)/api/v1/rdap/d29a7949-1104-4030-9ab9-381e66cb7fd1Certificate Transparency/api/v1/ct/aceprepai.meHow often this domain was scanned/api/v1/domain/stats/shekharscript.github.ioScan history for this domain/api/v1/domain/history/shekharscript.github.io?limit=15

This website contacted 6 IPs in 1 country across 5 domains to perform 10 HTTP transactions. The main domain is aceprepai.me and was registered 18 years ago.

Submitted URL: https://shekharscript.github.io

Effective URL:

https://www.aceprepai.me/
Redirected

AI Security Verdict

High Risk

Confidence: 52%

7
Risk Score

This page runs a device-code sign-in lure used to take over accounts — rated high risk on that basis.

Risk Factors
Single-source (unverified) phishing threat-intel report on the redirecting entry domain
Cross-domain redirect from an instant-publish hosting platform to a fresh, unranked custom domain
Entry domain has no published creation date and no Cisco Umbrella ranking; final domain www.aceprepai.me is unranked
Domain age information unavailable

Details

Page Title

AcePrep

Scan Type

public

Domain Name Analysis

Within the British Indian Ocean Territory country-code top-level domain (.io), 'shekharscript.github.io' is registered with subdomain 'shekharscript'. The second-level label 'github' is 6 characters long holding 2 vowels versus four consonants. Splitting it apart reveals three words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shekharscript.github.io

Page Load Overview

1.24s
Total Load Time
785 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,254 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
65%
education learning
54%
government public service
29%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
164.29.17.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
106--

Detected Technologies2

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

T1BAF05C0188A04855123093402DD0FC185D99A746C346BB1074A760BD4FD8A96CD9B87C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YOLBrAMzb1Pq29fAbpli7vkXJAqIbR2+MvfWHwlme9NV4LKTj+GwlM4RW:hRoEPKy7MOqsKWq9NVYRRqAEd1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7c713aaede560da48ec40f9992af5f0c

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:3c7012b3b3ffffe7
Perceptual Hash:ed4cd2939393903d
Difference Hash:e1e7266666da520d
Wavelet Hash:3870003212fffbe7
Color Hash:#6ce0a4

Other Hashes

Crop Resistant:e1e7266666da520d,4105010505010c8c

Scan History

Scan history not available

Unable to load historical scan data