v0.2.28

Armur-Ai/Pentest-Swarm-AIv0.2.28Sep 28, 2026by github-actions[bot]

Upgrading?

AI Summary

Introduces foundational Attack Graph capabilities (AG1, AG2, AG3) to visualize the most-likely path to an objective. The system builds attack graphs from real swarm findings and surfaces the planned attack path in reports.

Key Highlights

  • Typed attack graph + most-likely-path planner.
  • Construction of attack graphs directly from real swarm findings.
  • Surface planned attack paths to the objective in reports.
  • AG1, AG2, and AG3 feature implementation.
  • Path planning integration into the reporting workflow.

New Features

  • Typed attack graph
  • Most-likely-path planner
  • Graph construction from swarm findings
  • Objective path surface reporting
  • AG1, AG2, AG3 features

Full Release Notes

## Pentest Swarm AI v0.2.28

Install via Homebrew:
```
brew install Armur-Ai/tap/pentestswarm
```

Install via AUR (once submitted):
```
yay -S pentestswarm-bin
```

Run via Docker (16 security tools pre-installed):
```
docker run --rm ghcr.io/armur-ai/pentestswarm:v0.2.28 scan example.com
```

## Changelog
### Features
* 354c7f753914b184534b0279346dcbe9e0448157: feat(attackgraph): AG1 — typed attack graph + most-likely-path planner (@AkhilSharma90)
* 3137fdde36d35c97eea5fe96184a1a3a6a6ad3b8: feat(attackgraph): AG2 — build the graph from real swarm findings (@AkhilSharma90)
* e522877dee6ca8e5488b1b8a77b5a504adbcf069: feat(report): AG3 — surface the planned attack path to the objective (@AkhilSharma90)
### Other
* 3799df8ec3641cdb468a500d15d8cc137dc8c67e: chore(release): 0.2.28 — attack-path graph: plan + report the most-likely path to the objective (@AkhilSharma90)
* f260412885c3cf1a0a2b2118a191476af4d2ff1f: chore: gitignore future_ideas.md (private brainstorm, not for the public repo) (@AkhilSharma90)

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Full source: github.com/Armur-Ai/Pentest-Swarm-AI

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