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Mentions
1B tokens vs 4.5B for the same 85 flags, 25 seconds faster. that's how sapper-v2 won a Tencent AI pentest contest (634 teams) after 8 hours unattended. an AI commander, a worker swarm, one shared fact graph. authorized testing only. N1nEmAn/sapper-v2 t.co
🚀 sapper-v2: An open-source AI pentesting swarm. 🤖 Autonomous agents, shared memory & self-healing. 🏆 Ranked #1 out of 634 teams in Tencent’s qualifier. 🔗 N1nEmAn/sapper-v2 #AI #Pentesting #CyberSecurity
Reuse outside pentest: nvwabase keeps the same Create / Language / History foundation without the pentest doctrine. Swap the playbook for your workflow. Authorized targets only. Review the code and run it in an isolated lab first. Repo: N1nEmAn/sapper-v2
An open-source AI hacking swarm just dropped. 👀 Sapper-v2 lets AI agents coordinate automated security testing using tools like Nma Nuclei and Kali. How to try it in your own lab: 1. Clone the repo: N1nEmAn/sapper 2. Open the "sapper-v2" folder 3. Run "bash install.sh". 4. Run "sapper setup" and configure your lab target 5. Connect Claude Code or Codex as the agent CLI. 6. Add your model API keys. 7. Check progress with "sapper status". What you get: → AI commander + worker agents → 50+ security playbooks → Docker-based Kali environment → Open-source under MIT license The repo is free, but model API usage may cost extra GitHub: N1nEmAn/sapper
Autonomous pentest legion — AI commander + worker swarm + layered fact-intent graph. N1nEmAn/sapper-v2
Autonomous pentest team: AI commander, worker swarm, layered fact-intent graph. Third Tencent Intelligent Attack-Defense champion (634 teams, 8‑hour unattended, 1B tokens beat 4.5B). #technology #mpi #artificialintelligence #news #swa #teams #ai #opensource