AL

algorand-vulnerability-scanner

A security audit tool for detecting 11 common vulnerabilities in Algorand smart contracts.

Install

mkdir -p .claude/skills/algorand-vulnerability-scanner && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5921" && unzip -o skill.zip -d .claude/skills/algorand-vulnerability-scanner && rm skill.zip

Installs to .claude/skills/algorand-vulnerability-scanner

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).
221 chars✓ has a “when” trigger
Advanced

Key capabilities

  • →Scan TEAL and PyTeal code for vulnerabilities
  • →Identify 11 specific security patterns
  • →Provide remediation code fixes
  • →Run static analysis with Tealer

How it works

It performs static analysis on Algorand smart contracts to detect platform-specific security flaws against a defined vulnerability database.

Inputs & outputs

You give it
TEAL or PyTeal source code
You get back
Vulnerability report with severity and fixes

When to use algorand-vulnerability-scanner

  • →Auditing Algorand smart contracts
  • →Reviewing TEAL assembly code
  • →Validating security fixes for Algorand apps
  • →Pre-audit security assessment

About this skill

Algorand Vulnerability Scanner

1. Purpose

Systematically scan Algorand smart contracts (TEAL and PyTeal) for platform-specific security vulnerabilities documented in Trail of Bits' "Not So Smart Contracts" database. This skill encodes 11 critical vulnerability patterns unique to Algorand's transaction model.

2. When to Use This Skill

  • Auditing Algorand smart contracts (stateful applications or smart signatures)
  • Reviewing TEAL assembly or PyTeal code
  • Pre-audit security assessment of Algorand projects
  • Validating fixes for reported Algorand vulnerabilities
  • Training team on Algorand-specific security patterns

3. Platform Detection

File Extensions & Indicators

  • TEAL files: .teal
  • PyTeal files: .py with PyTeal imports

Language/Framework Markers

# PyTeal indicators
from pyteal import *
from algosdk import *

# Common patterns
Txn, Gtxn, Global, InnerTxnBuilder
OnComplete, ApplicationCall, TxnType
@router.method, @Subroutine

Project Structure

  • approval_program.py / clear_program.py
  • contract.teal / signature.teal
  • References to Algorand SDK or Beaker framework

Tool Support

  • Tealer: Trail of Bits static analyzer for Algorand
  • Installation: uv tool install tealer (ensure uv's tool bin dir is on PATH)
  • Usage: tealer contract.teal --detect all

4. How This Skill Works

When invoked, I will:

  1. Search your codebase for TEAL/PyTeal files
  2. Analyze each file for the 11 vulnerability patterns
  3. Report findings with file references and severity, above them a coverage table carrying a verdict for every pattern
  4. Provide fixes for each identified issue
  5. Run Tealer (if installed) for automated detection

5. Example Output

When vulnerabilities are found, you'll get a report like this:

=== ALGORAND VULNERABILITY SCAN RESULTS ===

Project: my-algorand-dapp
Files Scanned: 3 (.teal, .py)
Vulnerabilities Found: 2

Coverage: 11/11 patterns reported
 1 Rekeying Attack ................... found   approval.py:45
 2 Unchecked Transaction Fee ......... n/a     stateful app, fees paid by sender
 3 Closing Account ................... clear   Assert(Txn.close_remainder_to() == Global.zero_address())
 ... one row per pattern, all 11 present ...

---

[CRITICAL] Rekeying Attack
File: contracts/approval.py:45
Pattern: Missing RekeyTo validation

Code:
    If(Txn.type_enum() == TxnType.Payment,
        Seq([
            # Missing: Assert(Txn.rekey_to() == Global.zero_address())
            App.globalPut(Bytes("balance"), balance + Txn.amount()),
            Approve()
        ])
    )

Issue: The contract doesn't validate the RekeyTo field, allowing attackers
to change account authorization and bypass restrictions.

6. Vulnerability Patterns (11 Patterns)

I check for 11 critical vulnerability patterns unique to Algorand. For detailed detection patterns, code examples, mitigations, and testing strategies, see VULNERABILITY_PATTERNS.md.

Pattern Summary:

  1. Rekeying Attack ⚠️ CRITICAL - Unchecked RekeyTo field
  2. Unchecked Transaction Fee ⚠️ HIGH - Fee not validated in smart signatures
  3. Closing Account (CloseRemainderTo) ⚠️ CRITICAL - Unchecked CloseRemainderTo drains the account
  4. Closing Asset (AssetCloseTo) ⚠️ CRITICAL - Unchecked AssetCloseTo drains the asset holding
  5. Group Size Check ⚠️ HIGH - No Global.group_size() validation on atomic groups
  6. Time-Based Replay Attack ⚠️ MEDIUM - No lease or round-range bound
  7. Access Controls ⚠️ CRITICAL - Update/delete and privileged calls unprotected
  8. Asset ID Verification ⚠️ HIGH - Asset ID not validated in asset operations
  9. Denial of Service (Asset Opt-In) ⚠️ MEDIUM - Push transfers strand on un-opted accounts
  10. Inner Transaction Fee ⚠️ MEDIUM - Inner fee not explicitly set to 0
  11. Clear State Transaction ⚠️ HIGH - Clear state program cannot reject, state left inconsistent

For complete vulnerability patterns with code examples, see VULNERABILITY_PATTERNS.md.

7. Scanning Workflow

Step 1: Platform Identification

  1. Confirm file extensions (.teal, .py)
  2. Identify framework (PyTeal, Beaker, pure TEAL)
  3. Determine contract type (stateful application vs smart signature)
  4. Locate approval and clear state programs

Step 2: Static Analysis with Tealer

# Run Tealer on contract
tealer contract.teal --detect all

# Or specific detectors
tealer contract.teal --detect unprotected-rekey,group-size-check,update-application-check

Step 3: Manual Vulnerability Sweep

For each of the 11 vulnerabilities above:

  1. Search for relevant transaction field usage
  2. Verify validation logic exists
  3. Check for bypass conditions
  4. Validate inner transaction handling

Step 4: Transaction Field Validation Matrix

Create checklist for all transaction types used:

Payment Transactions:

  • RekeyTo validated
  • CloseRemainderTo validated
  • Fee validated (if smart signature)

Asset Transfers:

  • Asset ID validated
  • AssetCloseTo validated
  • RekeyTo validated

Application Calls:

  • OnComplete validated
  • Access controls enforced
  • Group size validated

Inner Transactions:

  • Fee explicitly set to 0
  • RekeyTo not user-controlled (Teal v6+)
  • All fields validated

Step 5: Group Transaction Analysis

For atomic transaction groups:

  1. Validate Global.group_size() checks
  2. Review absolute vs relative indexing
  3. Check for replay protection (Lease field)
  4. Verify OnComplete fields for ApplicationCalls in group

Step 6: Access Control Review

  • Creator/admin privileges properly enforced
  • Update/delete operations protected
  • Sensitive functions have authorization checks

8. Reporting Format

Coverage Table

Report on every pattern in §6, whether or not it turned anything up. Emit this table above the findings, with all 11 rows present:

#PatternVerdictEvidence
1Rekeying Attackfoundapproval.py:45 -- no Txn.rekey_to() assertion on the payment branch
2Unchecked Transaction Fee
3Closing Account (CloseRemainderTo)
4Closing Asset (AssetCloseTo)
5Group Size Check
6Time-Based Replay Attack
7Access Controls
8Asset ID Verification
9Denial of Service (Asset Opt-In)
10Inner Transaction Fee
11Clear State Transaction

Each verdict is one of:

  • found — cite file:line and write the finding up in full below.
  • clear — the pattern applies to this contract and the contract handles it. Name the field, opcode, or check you searched for, so a reader can repeat the search.
  • n/a — the pattern cannot apply here. Give the reason in one clause ("no inner transactions in this contract"). Not having looked is not n/a.

A table with fewer than 11 rows is an incomplete scan and must be reported as one. A row whose Verdict cell is empty is incomplete in the same way: row 1 above is filled in to show the shape, and every row is filled in the same way before the report is done. Eleven clear verdicts is a result a reader can act on. A report that covers four patterns and says nothing about the other seven reads exactly like a clean contract, and that is the failure this table exists to prevent.

Finding Template

## [SEVERITY] Vulnerability Name (e.g., Missing RekeyTo Validation)

**Location**: `contract.teal:45-50` or `approval_program.py:withdraw()`

**Description**:
The contract approves payment transactions without validating the RekeyTo field, allowing an attacker to rekey the account and bypass future authorization checks.

**Vulnerable Code**:
```python
# approval_program.py, line 45
If(Txn.type_enum() == TxnType.Payment,
    Approve()  # Missing RekeyTo check
)
```

**Attack Scenario**:
1. Attacker submits payment transaction with RekeyTo set to attacker's address
2. Contract approves transaction without checking RekeyTo
3. Account authorization is rekeyed to attacker
4. Attacker gains full control of account

**Recommendation**:
Add explicit validation of the RekeyTo field:
```python
If(And(
    Txn.type_enum() == TxnType.Payment,
    Txn.rekey_to() == Global.zero_address()
), Approve(), Reject())
```

**References**:
- building-secure-contracts/not-so-smart-contracts/algorand/rekeying
- Tealer detector: `unprotected-rekey`

9. Priority Guidelines

Critical (Immediate Fix Required)

  • Rekeying attacks
  • CloseRemainderTo / AssetCloseTo issues
  • Access control bypasses

High (Fix Before Deployment)

  • Unchecked transaction fees
  • Asset ID validation issues
  • Group size validation
  • Clear state transaction checks

Medium (Address in Audit)

  • Inner transaction fee issues
  • Time-based replay attacks
  • DoS via asset opt-in

10. Testing Recommendations

Unit Tests Required

  • Test each vulnerability scenario with PoC exploit
  • Verify fixes prevent exploitation
  • Test edge cases (group size = 0, empty addresses, etc.)

Tealer Integration

# Add to CI/CD pipeline
tealer approval.teal --detect all --json > tealer-report.json

# Fail build on critical findings
tealer approval.teal --detect all --fail-on critical,high

Scenario Testing

  • Submit transactions with all critical fields manipulated
  • Test atomic groups with unexpected sizes
  • Attempt access control bypasses
  • Verify inner transaction fee handling

11. Additional Resources


12. Quick Reference Checklist

Before completing Algorand audi


Content truncated.

When not to use it

  • →Non-Algorand smart contract projects
  • →General web application security audits

Prerequisites

pip3tealer

Limitations

  • →Limited to 11 defined vulnerability patterns
  • →Requires manual review for complex logic

How it compares

It focuses on Algorand-specific transaction model vulnerabilities rather than generic smart contract security checks.

Compared to similar skills

algorand-vulnerability-scanner side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
algorand-vulnerability-scanner (this skill)13moReviewAdvanced
secure-workflow-guide33moNo flagsAdvanced
audit-prep-assistant13moReviewIntermediate
xss-testing18moReviewAdvanced

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