apache/caldera

Automated Adversary Emulation Platform

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Summary Information

Updated 9 minutes ago
Added to GitGenius on September 9th, 2026
Created on November 29th, 2017
Open Issues & Pull Requests: 71 (+0)
GitHub issues: Enabled
Number of forks: 1,373
Total Stargazers: 7,248 (+0)
Total Subscribers: 181 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.2 hours
Mean response time: 11.8 days
90th percentile: 25.7 days
Tracked items: 159

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Work labelled "no-issue-activity" is answered fastest, typically in under an hour, while "feature" waits about 11 days. Only 7% of issues opened in the past year have been closed. Three people close 75% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 8
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 85 days
Stale 30+ days: 6
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (87)
  • question (51)
  • no-issue-activity (21)
  • feature (12)
  • enhancement (2)
  • good first issue (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Caldera is an automated adversary emulation platform that enables security teams to simulate attacks, support red team operations, and automate incident response testing.

The platform addresses the need to systematically test defenses by automating adversary behavior based on the MITRE ATT&CK framework. It operates as a core system consisting of an asynchronous command-and-control server with a REST API and web interface, designed to be extended through a plugin architecture. This modular approach allows organizations to add agents, reporting tools, technique libraries, and specialized capabilities without modifying the core framework.

Organizations should adopt this tool if they need to conduct regular adversary emulation exercises, validate detection capabilities, or automate incident response workflows. It suits security teams ranging from those building custom red team operations to those seeking structured, framework-aligned testing. The platform runs on Linux or macOS with Python 3.10 or later, requiring modest hardware resources. The plugin ecosystem includes default supported plugins maintained by the core team covering initial access, payload compilation, operational insights, and visualization, alongside community-contributed plugins for specialized domains like industrial control systems and MITRE ATLAS techniques.

The project maintains active development with regular updates to core functionality and plugin support. The framework receives ongoing enhancements to its command-and-control capabilities and user interface components. The plugin ecosystem continues to expand with both officially maintained and community-contributed extensions. Documentation and training resources are actively maintained alongside the codebase to support adoption and operational use.