Security Scan Report: raphaelaguilar.matmcc.org

Redirected to:
https://raphaelaguilar.matmcc.org/netsource/download.html
Submitted: Jul 16, 2026, 9:51:39 PMCompleted: Jul 16, 2026, 9:53:44 PMpubliccompleted

This website contacted 2 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is raphaelaguilar.matmcc.org and was registered 10 years ago.

Submitted URL: https://raphaelaguilar.matmcc.org/netsource/

Effective URL:

https://raphaelaguilar.matmcc.org/netsource/download.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Analyst-vetted fake Adobe 'secured document / Download Document' kit on a compromised aged domain, confirmed by a critical YARA rule; it delivers a remote-management agent. Do not download or run anything from this page.

Risk Factors (5)
Known malicious kit identified by the analyst-vetted kit roster (fake Adobe secured-document lure)
YARA rule Adobe_Secure_Document_RMM_Lure_Kit matched on the HTML body
Brand impersonation of Adobe on a domain unrelated to Adobe
Lure page designed to deliver a remote-management agent (RMM) to the visitor's device
Suspicious folder path /netsource/ on a host with no Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Background Image Page

Scan Type

public

Domain Name Analysis

The domain 'raphaelaguilar.matmcc.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'raphaelaguilar'. Count 6 characters in 'matmcc' containing 1 vowel alongside 5 consonants. Splitting it apart reveals three words: mat, m, cc. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://raphaelaguilar.matmcc.org/netsource/

Page Load Overview

16.90s
Total Load Time
18 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:328 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software44% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
44%
documentation technical
38%
healthcare medical
35%
news media journalism
34%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
472.167.48.109United States
AS398101GoDaddy.com, LLC
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A861515BA9F3005B390790756BF36B062665D003D20ACA593FBD62A8CF8599584A73CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nBr+5LMAFtyizQfYn9lPh7TsFWtXFtWyN8y7euXDc:nBr0z9zQfk9lFoFWtVtWyneuXDc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3290:AAgACiBsJkMEAGAAgAAAQEBAIAAABABGIhFwACEAAoFAiDABAmAUAAAgAACAACAEgAFAAAgAAACSABAAyEyECgBgAAAJAIKA

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:00001c3c3c3c0000
Perceptual Hash:9c1c6363ed9c9c98
Difference Hash:c4b23232b2aab084
Wavelet Hash:00063e3e7e7e427e
Color Hash:#4a40bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data