algorand-vulnerability-scanner

The algorand-vulnerability-scanner skill is designed to analyze Algorand smart contracts written in TEAL and PyTeal for security weaknesses specific to the Algorand ecosystem. It addresses the need for specialized auditing in blockchain applications where transaction logic, state management, and asset handling introduce unique attack surfaces that are not covered by generic smart contract analysis tools. By focusing on platform-specific risks, it helps developers and auditors identify vulnerabilities early in the development lifecycle and reduce the likelihood of exploits in production contracts.

This skill performs structured scanning across contract files to detect a set of 11 known vulnerability patterns associated with Algorand’s transaction model. It examines code for issues such as unsafe rekeying behavior, missing transaction validation, improper group transaction handling, asset-related security flaws, and unsafe application state updates. The scanner can also leverage static analysis tooling like Tealer when available to complement manual pattern detection. Findings are presented with contextual references to affected files, severity indicators, and explanations of the security implications, along with suggested remediation strategies.

It is primarily intended for blockchain developers, security auditors, and engineering teams building or reviewing Algorand-based decentralized applications. It is useful during pre-deployment audits, post-incident vulnerability reviews, and educational contexts where teams are learning Algorand security best practices. By systematizing detection of common and critical vulnerabilities, the skill helps improve the overall security posture of Algorand smart contract projects and supports more reliable decentralized application development.