Security Scan Report: aspharma.online

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Submitted: May 12, 2026, 12:56:48 PMCompleted: May 12, 2026, 12:58:30 PMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 34 HTTP transactions. The main domain is aspharma.online and was registered NaN years ago.

Submitted URL: https://aspharma.online/Multani-Mitti-And-Lavender-Essence-Face-Pack-Powder-For-All/catalogue/lDSQkyhX/KUsAXrcH

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

New, unranked e‑commerce site showing critical malware C2 and exfiltration alerts; high risk of infection.

Risk Factors
Brand‑new (<7 days) domain
Unranked domain reputation
Critical IDS alerts for malware C2 and data exfiltration
External resources loaded from multiple CDNs (potential for malicious payloads)
E‑commerce claim with aggressive discount messaging
Domain age information unavailable

Details

Page Title

AS PHARMA Multani Mitti And Lavender Essence Face Pack Powder For All Skin Types Price in India - Buy AS PHARMA Multani Mitti And Lavender Essence Face Pack Powder For All Skin Types online at https://aspharma.online

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(41%)

Domain Information

Within the modern generic top-level domain (.online), 'aspharma.online' is registered and has no subdomain. The second-level label 'aspharma' is 8 characters long holding three vowels versus 5 consonants. It segments into three words: asp, harm, a. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aspharma.online/Multani-Mitti-And-Lavender-Essence-Face-Pack-Powder-For-All/catalogue/lDSQkyhX/KUsAXrcH

Page Load Overview

2.90s
Total Load Time
88
HTTP Requests
17
Domains
1.4 MB
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-IN
Text Length:7,385 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping41% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
41%
healthcare medical
33%
e-commerce
25%
corporate
25%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1620.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
818.64.16.124United States
AS16509Amazon.com, Inc.
813.205.246.166Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
8192.178.170.95United States
AS15169Google LLC
8157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8142.251.110.94United States
AS15169Google LLC
8142.251.13.97United States
AS15169Google LLC
852.222.232.50United States
AS16509Amazon.com, Inc.
8142.251.127.95United States
AS15169Google LLC
8151.101.194.217United States
AS54113Fastly, Inc.
8810--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FEF31A670120323CA417A9AA8FB17F59317AF02FDA56D5DAA97A4F24CBC7EC01B13345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:L7ZysOZClxlZClqmHSgJ9vpgcNNjP6T7ar7Jkdj/9FYRJ1MSOuryPTT58Vd+eXGR:YZClxlZClqMv3d7uFbYxVd+ec

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171964:AZzQoygBBYlQYAAgKEAQSARGAMCBFAoEJR9AMGAc5B1DBFCEkmAGgxT8QZGREmQRLqU2SRJoYQIYJBMdQApapcAARFCCYIAA

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:00b3b389b9f9f3f1
Perceptual Hash:ed3766127b32124e
Difference Hash:4a26765333030603
Wavelet Hash:00b2b8a8b9f1f3f1
Color Hash:#2dd2b1

Other Hashes

Crop Resistant:4a26765333030603

Scan History

Scan history not available

Unable to load historical scan data