Hey r/netsec,
As a security researcher, I’ve been exploring ways to leverage AI for more effective code audits. In my latest Medium article, I dive into a complete end-to-end walkthrough using Hound, an open-source AI agent designed for code security analysis. Originally built for smart contracts, it generalizes well to other languages.
What’s in the tutorial:
* Introduction to Hound and its knowledge graph approach
* Setup: Selecting and preparing a Rust codebase
* Building aspect graphs (e.g., system architecture, data flows)
* Running the audit: Generating hypotheses on vulnerabilities
* QA: Eliminating false positives
* Reviewing findings: A real issue uncovered
* Exporting reports and key takeaways
At the end of the article, we create a quick proof-of-concept for one of the tool’s findings.
The full post Is here:
https://medium.com/@muellerberndt/hunting-for-security-bugs-in-code-with-ai-agents-a-full-walkthrough-a0dc24e1adf0
Use it responsibly for ethical auditing only.
Hey r/netsec,As a security researcher, I’ve been exploring ways to leverage AI for more effective code audits.
In my latest Medium article, I dive into a complete end-to-end walkthrough using Hound, an open-source AI agent designed for code security analysis.
Originally built for smart contracts, it generalizes well to other languages.
What’s in the tutorial:Introduction to Hound and its knowledge graph approachSetup: Selecting and preparing a Rust codebaseBuilding aspect graphs (e.g., system architecture, data flows)Running the audit: Generating hypotheses on vulnerabilitiesQA: Eliminating false positivesReviewing findings: A real issue uncoveredExporting reports and key takeawaysAt the end of the article, we create a quick proof-of-concept for one of the tool’s findings.
The full post Is here:https://medium.com/@muellerberndt/hunting-for-security-bugs-in-code-with-ai-agents-a-full-walkthrough-a0dc24e1adf0Use it responsibly for ethical auditing only.
Hey r/netsec,
As a security researcher, I’ve been exploring ways to leverage AI for more effective code audits. In my latest Medium article, I dive into a complete end-to-end walkthrough using Hound, an open-source AI agent designed for code security analysis. Originally built for smart contracts, it generalizes well to other languages.
What’s in the tutorial:
-
Introduction to Hound and its knowledge graph approach
-
Setup: Selecting and preparing a Rust codebase
-
Building aspect graphs (e.g., system architecture, data flows)
-
Running the audit: Generating hypotheses on vulnerabilities
-
QA: Eliminating false positives
-
Reviewing findings: A real issue uncovered
-
Exporting reports and key takeaways
At the end of the article, we create a quick proof-of-concept for one of the tool’s findings.
The full post Is here:
Use it responsibly for ethical auditing only.
