Security Scan Report: empresas.samsung.com.br

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Submitted: Oct 1, 2026, 2:03:38 PMCompleted: Oct 1, 2026, 2:04:48 PMpubliccompleted

This website contacted 77 IPs in 6 countries across 45 domains to perform 184 HTTP transactions. The main domain is empresas.samsung.com.br and was registered 3 years 5 months ago.

Submitted URL: https://empresas.samsung.com.br/termos-e-condicoes

The Cisco Umbrella rank of the primary domain is #573,496 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Official Samsung Brazil B2B portal terms-and-conditions page on the brand's own 30-year-old domain. No forms, no impersonation, no threat-intel or behavioral indicators. Legitimate.

Safety Factors (5)
Official Samsung-branded domain with matching meta description 'Portal Samsung para Empresas'
30-year-old registered domain
Legal/terms-of-service content with no data collection
All 14 third-party script hosts ranked in top-1M popularity list
No phishing, malware, or reputation indicators
Domain age information unavailable

Details

Page Title

Termos e condições

Scan Type

public

Domain Name Analysis

The domain 'empresas.samsung.com.br' uses the Brazilian country-code top-level domain (.com.br); it also runs on subdomain 'empresas'. The second-level label 'samsung' is 7 characters long split between 2 vowels and 5 consonants. Breaking it apart gives 1 word: samsung. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://empresas.samsung.com.br/termos-e-condicoes

Page Load Overview

9.26s
Total Load Time
6.7 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:24,674 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical45% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
45%
corporate business
40%
finance banking
37%
technology software
36%
e-commerce shopping
33%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3265.8.131.105Cloudfront · CDNUnited States
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265.9.130.24Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
299.84.152.108Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.127.97Google · CDNUnited States
AS15169Google LLC
213.32.121.13Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
22.22.84.55Akamai · CDNLisbon, Lisbon, Portugal
AS16625Akamai Technologies, Inc.
213.32.99.3Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
234.225.83.6Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
234.193.7.16Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
18477--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E895E659BAF330314213F0799E2FEE05B279940F518CCD59B99D92A41F584388BB6FE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ynIZ9R+ZO/PHSL/2uMaqzEy48GLNAGvNQ7wlK0OvXD8SUUjsxeEZ6hYh4RzDjiDK:F9R+ZO/al1sjLeUiwoY9gBKs7L4nbQE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2055888:GwFUBfAhkByw5YoOotEIIEKCmiEkIlCcAwgAwhQihjKOiE0SYJR1oowABSUnoOJDASVIQySKojcEqArkUQQgQQtxHYShAVCF

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:fc8f81879f9f8783
Perceptual Hash:be5ac2da4a5a4a5a
Difference Hash:51382b3f3f2b1b33
Wavelet Hash:fc878187879f8781
Color Hash:#b279d2

Other Hashes

Crop Resistant:51382b3f3f2b1b33

Scan History

Scan history not available

Unable to load historical scan data