Skip to content

unicornlaunching/stacksAIbuildathon

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

93 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🛡️✨ The Syndicate AI Buildathon on Stacks Part One ✨🛡️
🌟 Stacks Ecosystem Security Shift 🌟
👉👉 Get the recap for The Syndicate AI Buildathon on Stacks II above! 👈👈
This document analyzes the key decisions and discussions surrounding the shift in focus from an AI-powered community copilot to prioritizing security tools within the Stacks ecosystem. 🔍🔐

❓🤔 Missed The Syndicate AI Buildathon on Stacks this weekend?
🎧🎙️ Here’s a ten-minute podcast to get you caught up:
🎙️👉 Click here to listen to the podcast recap! 👈🎙️

🚀🔥 1. Redirecting Funding and Development Priorities 🔥🚀
🛠️🔧 1.1 From "Cindy" to Security Champions
The initial plan was to use a 💵 $1,300 grant to develop "Cindy the Community Copilot," an AI tool aimed at assisting projects with their go-to-market strategies. 📈📊

The Charisma BTC exploit (loss: 💔 $300,000-$400,000) triggered a unanimous decision to shift the focus to AI-powered security tools. ⚠️💻

⚠️🚨 1.2 Urgent Need for Enhanced Security
The Charisma hack exposed ecosystem vulnerabilities, underscoring the need for robust security to build trust and attract liquidity—especially with Nakamoto and SBTC upgrades looming. 🔒🔑

🔑💪 2. Addressing Key Security Vulnerabilities
💰🛡️ 2.1 Lack of Affordable Auditing
Traditional audits are costly, leaving many projects vulnerable. 🏦💔
Developing AI-powered security tools aims to offer cost-effective solutions for projects of all sizes. 💸💡

🏰🔐 2.2 Governance Attacks and Privilege Escalation
The Charisma hack revealed DAO structure weaknesses—the "dungeon master" admin contract is particularly susceptible. ⚔️🗡️
New security measures will address privileged role vulnerabilities. 🦸‍♂️⚙️

🧠🔍 2.3 Inherited Vulnerabilities & Lack of Automated Checks
Charisma’s code, forked from Executor DAO, carried over known vulnerabilities—showing the risks of inherited code. ⚠️📜

The lack of automated checks enabled the attacker to bypass detection. 🚫🕵️‍♂️

🤖💡 3. Proposed AI-Powered Security Solutions
🔍👁️ 3.1 AI-Powered Vulnerability Scanning
Training AI models on datasets of known vulnerabilities to detect patterns in new code—helping developers address issues proactively. 🔄📈

🔐🤖 3.2 AI-Driven Auditing Tool
Automating the audit process by identifying deviations from best practices and flagging risky code—making audits more efficient and accessible. ⏩📊

⚙️💻 3.3 Exploit Pattern Recognition
Creating an open-source repository of exploits and vulnerabilities to train AI models on attack patterns and predict future exploits. 🔄📚

🌍🤝 4. Embracing Open Source and Collaboration
🤝🌐 4.1 Open-Source Development
Building security tools as open source promotes collaboration, transparency, and the adoption of best practices across the Stacks ecosystem. 📜🤲

👨‍🔧💪 4.2 Collaboration with Existing Initiatives
Working with the "Orange Hat" group and consulting with Zet Zeus will avoid duplication of effort and bring unified security to the Stacks ecosystem. 🔗🤝

🚧🛤️ 5. Challenges and the Path Forward
To build effective AI-powered security tools, comprehensive datasets on vulnerabilities and secure coding practices are essential. 📊🔍
The success of these tools hinges on the quality and breadth of the training data. 📚🏆

Additionally, the community must increase security awareness and education. 📖🗣️
By developing accessible tools, the group hopes to create a more secure and resilient ecosystem. 💪🌈

💡🌟 6. Suggestions from CASPIAQ
🔹 PHASE ONE: Run Stacks Node (Stacks Blockchain API Node, not a Signer Node) 🖥️
🔹 PHASE TWO: Populate Database with Mempool Transactions 📊
🔹 PHASE THREE: Build Malicious Pattern Database 🏗️
🔹 PHASE FOUR: Compare Malicious Pattern Database to Mempool Transactions ⚖️
🔹 PHASE FIVE: Assign Surface Attack Area Score and Other Scores to Each Transaction 📉
🔹 PHASE SIX: Create User Interface to Display Unconfirmed Transactions with Scores 📱

🎙️🎧 Listen to the podcast episode for a bottom-line summary of the entire document:
🎧👉 Proposed Solution 👈🎧

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published