Security Scan Report: cotacaoarcelorof.netlify.app

Submitted: Aug 31, 2026, 2:50:06 PMCompleted: Aug 31, 2026, 2:51:26 PMpubliccompleted

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cotacaoarcelorof.netlify.app and was registered 8 years ago.

Submitted URL: https://cotacaoarcelorof.netlify.app/?gad_source=1

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

Google Safe Browsing flags this site as dangerous — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'cotacaoarcelorof.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'cotacaoarcelorof'. Count 7 characters in 'netlify' with two vowels and five consonants. Tokenizing the label suggests three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cotacaoarcelorof.netlify.app/?gad_source=1

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Page Statistics

2
Requests
1
Unique Domains
3.4 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1476162A9C41A203F6D93A81F13A4CA4D60297107DC9147D8FFAA53ACC2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXa:nGHwyA2qlRYZJ3RoXI++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQBCYAICEEgAAWABQAIAQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECC

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:ffffe7e7e7e7ffff
Perceptual Hash:b366cc9933649933
Difference Hash:0000080c0c080000
Wavelet Hash:f0f0e4e4e4e4f0f0
Color Hash:#41862d

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data