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Showing 4 open source projects for "aws"

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1

Pacu

The AWS exploitation framework, designed for testing security

Pacu (named after a type of Piranha in the Amazon) is a comprehensive AWS security-testing toolkit designed for offensive security practitioners. While several AWS security scanners currently serve as the proverbial “Nessus” of the cloud, Pacu is designed to be the Metasploit equivalent. Written in Python 3 with a modular architecture, Pacu has tools for every step of the pen testing process, covering the full cyber kill chain.

Downloads: 1 This Week

Last Update: 2026-03-23
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2

Splunk Attack Range

Tool to simulate attacks and collect the data

Attack Range Log The Splunk Attack Range is an open-source project maintained by the Splunk Threat Research Team. It builds instrumented cloud (AWS, Azure) and local environments (Virtualbox), simulates attacks, and forwards the data into a Splunk instance. This environment can then be used to develop and test the effectiveness of detections.

Downloads: 0 This Week

Last Update: 2026-02-09
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3

Splunk Attack Range

A tool that allows you to create vulnerable environments

The Splunk Attack Range is an open-source project maintained by the Splunk Threat Research Team. It builds instrumented cloud (AWS, Azure) and local environments (Virtualbox), simulates attacks, and forwards the data into a Splunk instance. This environment can then be used to develop and test the effectiveness of detections.

Downloads: 3 This Week

Last Update: 2026-02-09
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4

GoSpider

Gospider - Fast web spider written in Go

GoSpider - Fast web spider written in Go. Fast web crawling. Brute force and parse sitemap.xml. Parse robots.txt. Generate and verify link from JavaScript files. Link Finder. Find AWS-S3 from response source. Find subdomains from the response source. Get URLs from Wayback Machine, Common Crawl, Virus Total, Alien Vault. Format output easy to Grep. Support Burp input. Crawl multiple sites in parallel.

Downloads: 4 This Week

Last Update: 2023-01-27
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Build Securely on AWS with Proven Frameworks
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