Security Scan Report: acessodhj.netlify.app

Redirected to:
https://acessodhj.netlify.app/quiz.html/?src=KL
Submitted: Sep 6, 2026, 2:45:20 PMCompleted: Sep 6, 2026, 2:48:08 PMpubliccompleted

This website contacted 9 IPs in 3 countries across 7 domains to perform 17 HTTP transactions. The main domain is acessodhj.netlify.app and was registered 9 years ago.

Submitted URL: https://acessodhj.netlify.app/quiz.html?src=KL

Effective URL:

https://acessodhj.netlify.app/quiz.html/?src=KL
Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page shows a TikTok‑related quiz, has no forms or malicious indicators, and poses low risk.

Safety Factors
Absence of forms or data collection
No malicious external resources or redirects
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Pesquisa TikTok

Scan Type

public

Domain Name Analysis

The domain 'acessodhj.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'acessodhj'. The registrable portion 'netlify' spans 7 characters with 2 vowels and five consonants. Segmentation suggests three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://acessodhj.netlify.app/quiz.html?src=KL

Page Load Overview

1.28s
Total Load Time
109 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:691 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network100% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
100%
entertainment media
93%
technology software
44%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
920.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
1104.26.12.82Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.175.38.6Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1172.67.74.194Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
179--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0F0A29F3C85943D06B168D867F6E24D0817B31FD8A5CB017ADD91953F64ED40E0268C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hC5uqJbuqJ4qJmrmnmi2PY7VqpXRW3tQw1mFAckAbX7dL4YQ7skG:h+TnFnr2PY7IXRW9QumHvz7dLxQQkG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:636:AQAAQAAAACAAAAAAAAAAEAAAAACBAAAAAAAAwIAAAACACAAAAAAAAAAEQAAAABAAAAAAAAAAAAIAAIAAAABAAAAAAAAAACAA

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:4040181838383800
Perceptual Hash:dd3133d922cd8ccc
Difference Hash:161a32323232320c
Wavelet Hash:0e023838fafafae2
Color Hash:#ac5368

Other Hashes

Crop Resistant:161a32323232320c

Scan History

Scan history not available

Unable to load historical scan data