LOLBAS VS purple-team-exercise-framework

Compare LOLBAS vs purple-team-exercise-framework and see what are their differences.

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LOLBAS purple-team-exercise-framework
5 2
6,609 538
1.2% 2.4%
8.3 3.1
8 days ago 4 months ago
XSLT
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LOLBAS

Posts with mentions or reviews of LOLBAS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

purple-team-exercise-framework

Posts with mentions or reviews of purple-team-exercise-framework. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing LOLBAS and purple-team-exercise-framework you can also consider the following projects:

UltimateAppLockerByPassList - The goal of this repository is to document the most common techniques to bypass AppLocker.

EnterprisePurpleTeaming - Purple Team Resources for Enterprise Purple Teaming: An Exploratory Qualitative Study by Xena Olsen.

GoodHound - Uses Sharphound, Bloodhound and Neo4j to produce an actionable list of attack paths for targeted remediation.

NIST-to-Tech - An open-source listing of cybersecurity technology mapped to the NIST Cybersecurity Framework (CSF)

gitlab-watchman - Finding exposed secrets and personal data in GitLab

slack-watchman - Slack enumeration and exposed secrets detection tool

LOLDrivers - Living Off The Land Drivers

LOOBins - Living Off the Orchard: macOS Binaries (LOOBins) is designed to provide detailed information on various built-in "living off the land" macOS binaries and how they can be used by threat actors for malicious purposes.