algorand-vulnerability-scanner
Analyze Algorand TEAL and PyTeal smart contracts for 11 critical security vulnerabilities including rekeying attacks, logic flaws, and transaction validation errors.
Introduction
The Algorand Vulnerability Scanner is a specialized security tool designed for developers and auditors working within the Algorand blockchain ecosystem. It systematically inspects smart contracts written in TEAL (Transaction Execution Approval Language) or PyTeal to identify patterns that deviate from secure development standards. By cross-referencing code against the Trail of Bits Not So Smart Contracts database, this skill helps teams proactively secure stateful applications and smart signatures before deployment or during incident response. It is intended for security researchers, blockchain engineers, and auditors who need to ensure contract integrity against common attack vectors unique to the Algorand transaction model.
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Performs static analysis of .teal and .py source files to detect 11 common vulnerability patterns.
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Identifies critical risks such as unvalidated RekeyTo fields, missing group transaction size checks, insecure state manipulations, and logic signature reuse.
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Integrates with the Tealer static analysis framework to provide automated, command-line driven vulnerability reporting.
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Offers detailed remediation advice for each finding, including specific code snippets and pattern-based fix recommendations.
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Evaluates transaction field validation matrices, including Payment, Asset Transfer, and Application Call transactions, to ensure robust access control.
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Requires the target project to contain TEAL or PyTeal source code; ideally paired with the Tealer tool for comprehensive results.
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Best used during the pre-audit phase or as part of a continuous security integration process in the development lifecycle.
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Input expects paths to contract source files; output provides a structured report highlighting vulnerability location, severity (Critical/High/Medium), and mitigation strategies.
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While the tool automates discovery, manual review is recommended for complex logic verification, especially concerning application-specific authorization rules and atomic transaction group constraints.
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Users should ensure their environment has the necessary SDKs (algosdk) and framework dependencies (Beaker) installed to fully utilize the static analysis capabilities.
Repository Stats
- Stars
- 4,910
- Forks
- 428
- Open Issues
- 21
- Language
- Python
- Default Branch
- main
- Sync Status
- Idle
- Last Synced
- Apr 30, 2026, 04:14 PM