Security Scan Report: apoyar.org

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Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 6 domains to perform 12 HTTP transactions. The main domain is apoyar.org and was registered 12 years ago.

Submitted URL: https://apoyar.org/adobe.html

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Analyst-vetted fake 'PDF Viewer' kit impersonating Adobe on apoyar.org, pushing a remote-access agent installer. Do not click 'View Files' or install anything; report the page.

Risk Factors (4)
Known malicious kit delivery page (fake Acrobat Reader installer = remote-management agent granting operator control)
Adobe brand impersonation on a non-Adobe domain
Rewritten/obfuscated inline JavaScript with decode routines
Multiple cross-domain redirects to reach the payload page
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain name 'apoyar.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The core label 'apoyar' covers 6 characters with three vowels and 3 consonants. Breaking it apart gives 2 words: apo, yar. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apoyar.org/adobe.html

Page Load Overview

3.42s
Total Load Time
568 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:694 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
60%
corporate business
42%
entertainment media
30%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12108.167.181.19Ashburn, Virginia, United States
AS31898Oracle Corporation
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
0142.251.14.147Google · CDNUnited States
AS15169Google LLC
0142.251.20.103Google · CDNUnited States
AS15169Google LLC
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
1213--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AB5B61B8E0F56A07F3828BF5787A6497010F79395C3A794F0DF4C8DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTt3uXuT8+o7rfyHlnxXuT8+o7rLyNXuT8+o7rly2lnm:a5fzXS8+QTMlnxXS8+QX4XS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2415402:kEUAJKAbAFGlxU5Ig2jGqVClLBACVj1AEamEDSvYIig6IWICAUEjIUJVQSgAIAcizhdAihGoIgGDBEABNgCAUrqRswaRjEbx

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:9c8484849c9c1c1c
Perceptual Hash:9e7709dd4d256f00
Difference Hash:313d0d3d3931b9b1
Wavelet Hash:9d9c84949c9c1d1d
Color Hash:#40acbf

Scan History

Scan history not available

Unable to load historical scan data