v0.2.25
Armur-Ai/Pentest-Swarm-AIv0.2.25Sep 23, 2026by github-actions[bot]
Upgrading?
AI Summary
This release introduces new security test recipes including NoSQL injection, deserialization, and non-numeric IDOR, alongside the AP4 adaptive scoring scoreboard streaming feature to the live view. It also provides updated installation methods via Homebrew, AUR, and Docker.
Key Highlights
- Added new security recipes: NoSQL injection (T1.7), deserialization (T1.9), and non-numeric IDOR.
- Enabled streaming of the full AP4 adaptive scoring scoreboard to the live view.
- Docker support includes 16 pre-installed security tools.
- Updated installation methods via Homebrew and AUR.
New Features
- feat(exploit): T1.7/T1.9 — NoSQL injection, deserialization, non-numeric IDOR recipes
- feat(swarm): AP4 — stream the full adaptive-scoring scoreboard to the live view
Full Release Notes
## Pentest Swarm AI v0.2.25 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:v0.2.25 scan example.com ``` ## Changelog ### Features * d6e9f0e950e47f2c282e3c22fddbf11003c03cb3: feat(exploit): T1.7/T1.9 — NoSQL injection, deserialization, non-numeric IDOR recipes (@AkhilSharma90) * 8febc19266d3109c6756d96fbeb23fb2b3549734: feat(swarm): AP4 — stream the full adaptive-scoring scoreboard to the live view (@AkhilSharma90) ### Other * 249f06ce8149bfd1f472597420e8303134c1c5d8: chore(release): 0.2.25 — AP4 adaptive scoreboard in live view + NoSQL/deserialization/IDOR-breadth recipes (@AkhilSharma90) --- Full source: github.com/Armur-Ai/Pentest-Swarm-AI
Related Repositories
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The world’s fastest framework for building websites.
:cherry_blossom: A command-line fuzzy finder