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