Security Scan Report: marycar.com.br

Redirected to:
https://marycar.com.br/Adobe/Acrobat_Reader/
Submitted: Sep 19, 2026, 12:45:41 AMCompleted: Sep 19, 2026, 12:46:35 AMpubliccompleted

This website contacted 10 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is marycar.com.br and was registered 29 years ago.

Submitted URL: http://marycar.com.br/Adobe/Acrobat_Reader

Effective URL:

https://marycar.com.br/Adobe/Acrobat_Reader/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Suspicious fake 'PDF Viewer' page using an Adobe-branded path and a Windows-only gate to push a reader download, but no credential form, malware, or verified content evidence was found.

Risk Factors
Deceptive URL path (/Adobe/Acrobat_Reader) on a domain unrelated to Adobe
Forced Windows-desktop gate pushing a 'PDF Reader' download — classic fake-update lure pattern
Anti-automation honeypot/hidden challenge fields suggesting cloaking
Safety Factors
Domain is well-established (registered 2020, ~6 years old)
No credential, password, or payment fields (0 forms parsed)
No JavaScript malware/YARA patterns, no network IDS alerts, no cross-origin credential exfiltration
Outbound links point to official browser download sites (Google, Microsoft, Mozilla)
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

You're looking at domain 'marycar.com.br' on the Brazilian country-code top-level domain (.com.br). The core label 'marycar' covers 7 characters containing 2 vowels alongside five consonants. Word splitting yields two words: mary, car. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://marycar.com.br/Adobe/Acrobat_Reader

Page Load Overview

3.59s
Total Load Time
415 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:943 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
72%
corporate business
57%
entertainment media
39%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5177.154.191.246Brazil
AS53038IDC19 SOLUCOES EM TECNOLOGIA DA INFORMACAO LTDA
1104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
1142.251.156.119Google · CDNUnited States
AS15169Google LLC
1142.251.157.119Google · CDNUnited States
AS15169Google LLC
1142.251.127.103Google · CDNUnited States
AS15169Google LLC
1142.251.127.99Google · CDNUnited States
AS15169Google LLC
1142.251.110.99Google · CDNUnited States
AS15169Google LLC
1410--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F174E085C9A739A17E92D0B56B2873183738D0A3C184DD9C394CE6E8CFE27158DF6B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ccrK3P7yVtTdyLkH7jVgEH1Tszg2rWS4wAB3sGnGf8d97MuMP:jgLk/VgEH1TWfOLnx0P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:357657:AQNWKSJQGD0A0QjYheKQj2QIGLOWBYIGoGCSEqYIBoJRbhBwIYAhIBkyCRpVKkAoAAwtAIk0OQIGpRhIoEAKAKIR8AvFJRTI

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:808e8e8e8e8e0e0e
Perceptual Hash:bfff00ff68007e00
Difference Hash:18181818181858d8
Wavelet Hash:8e8e8e8e8e8e0f0f
Color Hash:#69ac53

Scan History

Scan history not available

Unable to load historical scan data