Security Scan Report: pandamigo182.github.io

Submitted: Nov 21, 2025, 7:20:22 AMCompleted: Nov 21, 2025, 7:24:30 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 4 domains to perform 23 HTTP transactions. The main domain is pandamigo182.github.io.

Submitted URL: https://pandamigo182.github.io/Tarea-LandingPage-Siman/

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Impersonates Siman on a low‑ranked GitHub Pages site – high‑risk phishing.

Risk Factors
Brand impersonation on an untrusted, low‑ranked domain
Low Cisco Umbrella ranking for a site claiming to be a well‑known retailer
Use of a personal GitHub Pages subdomain for commercial branding
Domain age information unavailable

Details

Page Title

Siman - Tienda por Departamentos

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'pandamigo182.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'pandamigo182'. Count 6 characters in 'github' containing 2 vowels alongside four consonants. Splitting it apart reveals three words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pandamigo182.github.io/Tarea-LandingPage-Siman/

Page Load Overview

5.28s
Total Load Time
23
HTTP Requests
4
Domains
43.5 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:710 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15185.199.108.153United States
AS54113FASTLY
4104.17.24.14United States
AS13335CLOUDFLARENET
3216.58.212.131United States
AS15169GOOGLE
1216.58.206.42United States
AS15169GOOGLE
1185.199.110.153United States
AS54113FASTLY
1185.199.111.153United States
AS54113FASTLY
1104.17.25.14United States
AS13335CLOUDFLARENET
1185.199.109.153San Francisco, California, United States
AS54113FASTLY
1142.250.185.131United States
AS15169GOOGLE
12606:50c0:8003::153United States
AS54113FASTLY
2317--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D02AB7184F4113B41D391856EA1AF2A3ED2D60BD91B1A0472FC2BD99FE3D86CD03A1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:79xcFQzfYo2VTBsu7dP27MdJgQdDLZdOF3uRaE:79xcQG1x+7oa8nXOLE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8688:AAZQUEjHkxDBCTKQHlgQYgD0mKvH1DKzQLBPREHGlF5QgAZiaBADakXIUEEmFkAAyyjoBA+mAAEEgCCAjicRgAFgoLWxIMQA

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:080000000000ffff
Perceptual Hash:aa1bf51339d11b86
Difference Hash:d925099515d92e27
Wavelet Hash:7f00000001ffffff
Color Hash:#d23d2d

Scan History

Scan history not available

Unable to load historical scan data