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Security Scan Report: jonathan-leiva.github.io

Submitted: Nov 3, 2025, 2:26:39 PMCompleted: Nov 3, 2025, 2:27:22 PMpubliccompleted
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Summary

This website contacted 28 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is jonathan-leiva.github.io and was registered NaN years ago.

Submitted URL: https://jonathan-leiva.github.io/Proyecto-siman/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Impersonates Siman on an unranked GitHub Pages domain; likely phishing.

Risk Factors
Brand impersonation on an unranked personal GitHub Pages domain
Unranked/low‑reputation domain presenting commercial offers
Potential typosquatting/typosquatting of Siman brand
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Siman | Promociones

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

technology software

(28%)

Domain Information

The domain name 'jonathan-leiva.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'jonathan-leiva'. The core label 'github' covers 6 characters with 2 vowels and four consonants. Splitting it apart reveals three words: g, it, hub. Median word length is 2 characters. The linguistic tilt is English for 'g'. You will also see it in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://jonathan-leiva.github.io/Proyecto-siman/

Page Load Overview

14.76s
Total Load Time
12
HTTP Requests
5
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:554 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software28% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1265.9.175.51United States
AS16509AMAZON-02
0104.17.25.14United States
AS13335CLOUDFLARENET
0185.199.109.153San Francisco, California, United States
AS54113FASTLY
0142.250.186.106United States
AS15169GOOGLE
0185.199.110.153United States
AS54113FASTLY
0185.199.111.153United States
AS54113FASTLY
0142.250.184.195United States
AS15169GOOGLE
0104.17.24.14United States
AS13335CLOUDFLARENET
02600:9000:2096:c800:b:757a:54c0:93a1United States
AS16509AMAZON-02
02606:50c0:8003::153United States
AS54113FASTLY
1228--

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

T1FDF15C13D0F499A743C2D8E66866B739FCE6441BA9540811B1FD1BA78F8AD43CCAB05E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UrlGYUU48Kf0pkiTCA/hufoukIj1/D6o7J8UBb7lP:Url3UUplp1NWt1WYv7lP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7921:hApcQNBIgBAwVsLsAAAyqAjYAS6kREgQhADvdUAwAyJCkmSAIQCcNAMhAhg+izCFFADUGoRxgQktqlCg0AAh4KyEUYBAZFAR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data