algorand-vulnerability-scanner
Über
Diese Fähigkeit scannt Algorand Smart Contracts (TEAL/PyTeal) auf 11 kritische, plattformspezifische Schwachstellen wie Rekeying-Angriffe und Zugriffskontrollfehler. Nutzen Sie sie bei Audits oder Sicherheitsbewertungen von Algorand-Projekten, um automatisch häufige Risiken zu erkennen. Sie ist für Entwickler konzipiert, die Code überprüfen, um die Sicherheit und Integrität von Verträgen zu gewährleisten.
Schnellinstallation
Claude Code
Empfohlennpx skills add trailofbits/skills -a claude-code/plugin add https://github.com/trailofbits/skillsgit clone https://github.com/trailofbits/skills.git ~/.claude/skills/algorand-vulnerability-scannerKopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren
Dokumentation
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:
.pywith 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.pycontract.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:
- Search your codebase for TEAL/PyTeal files
- Analyze each file for the 11 vulnerability patterns
- Report findings with file references and severity, above them a coverage table carrying a verdict for every pattern
- Provide fixes for each identified issue
- 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:
- Rekeying Attack ⚠️ CRITICAL - Unchecked RekeyTo field
- Unchecked Transaction Fee ⚠️ HIGH - Fee not validated in smart signatures
- Closing Account (CloseRemainderTo) ⚠️ CRITICAL - Unchecked CloseRemainderTo drains the account
- Closing Asset (AssetCloseTo) ⚠️ CRITICAL - Unchecked AssetCloseTo drains the asset holding
- Group Size Check ⚠️ HIGH - No
Global.group_size()validation on atomic groups - Time-Based Replay Attack ⚠️ MEDIUM - No lease or round-range bound
- Access Controls ⚠️ CRITICAL - Update/delete and privileged calls unprotected
- Asset ID Verification ⚠️ HIGH - Asset ID not validated in asset operations
- Denial of Service (Asset Opt-In) ⚠️ MEDIUM - Push transfers strand on un-opted accounts
- Inner Transaction Fee ⚠️ MEDIUM - Inner fee not explicitly set to 0
- 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
- Confirm file extensions (
.teal,.py) - Identify framework (PyTeal, Beaker, pure TEAL)
- Determine contract type (stateful application vs smart signature)
- 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:
- Search for relevant transaction field usage
- Verify validation logic exists
- Check for bypass conditions
- 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:
- Validate
Global.group_size()checks - Review absolute vs relative indexing
- Check for replay protection (Lease field)
- 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:
| # | Pattern | Verdict | Evidence |
|---|---|---|---|
| 1 | Rekeying Attack | found | approval.py:45 -- no Txn.rekey_to() assertion on the payment branch |
| 2 | Unchecked Transaction Fee | ||
| 3 | Closing Account (CloseRemainderTo) | ||
| 4 | Closing Asset (AssetCloseTo) | ||
| 5 | Group Size Check | ||
| 6 | Time-Based Replay Attack | ||
| 7 | Access Controls | ||
| 8 | Asset ID Verification | ||
| 9 | Denial of Service (Asset Opt-In) | ||
| 10 | Inner Transaction Fee | ||
| 11 | Clear State Transaction |
Each verdict is one of:
found— citefile:lineand 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 notn/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
- Building Secure Contracts:
building-secure-contracts/not-so-smart-contracts/algorand/ - Tealer Documentation: https://github.com/crytic/tealer
- Algorand Developer Docs: https://developer.algorand.org/docs/
- PyTeal Documentation: https://pyteal.readthedocs.io/
12. Quick Reference Checklist
Before completing Algorand audit, verify ALL items checked:
- RekeyTo validated in all transaction types
- CloseRemainderTo validated in payment transactions
- AssetCloseTo validated in asset transfers
- Transaction fees validated (smart signatures)
- Group size validated for atomic transactions
- Lease field used for replay protection (where applicable)
- Access controls on Update/Delete operations
- Asset ID validated in all asset operations
- Asset transfers use pull pattern to avoid DoS
- Inner transaction fees explicitly set to 0
- OnComplete field validated for ApplicationCall transactions
- Tealer scan completed with no critical/high findings
- Unit tests cover all vulnerability scenarios
- Coverage table emitted with all 11 rows, each carrying a verdict of
found,clearorn/awith a reason
13. Rationalizations to Reject
- "The contract is small, so most patterns obviously don't apply." Obvious to whom? An
n/acosts one clause and makes the judgment reviewable. Silence records nothing, and a reader cannot tell it apart from not having checked. - "Tealer reported nothing, so the contract is clean." Tealer covers a subset of these 11 patterns and does not reach the logic-level ones at all. A clean tool run is one row of evidence, not a verdict on the patterns it never examined. Say which patterns it covered.
- "I checked the patterns that matter for this contract." Deciding which patterns matter is the scan, not a precondition for starting it. Rank by severity after the table is complete, not by leaving rows out.
- "No findings, so there is nothing to report." A zero-finding scan still emits the full coverage table. That table is the deliverable: it is what distinguishes a contract that was examined from one that was glanced at.
- "PyTeal/Beaker handles this." Name the version and the mechanism. Framework defaults change between releases, and a framework that covers a pattern on one call path often does not on another.
- "The RekeyTo check is in the other program." Then cite it. A validation you believe exists elsewhere is
an assumption until you have the
file:line, and split-program contracts are where these checks go missing.
GitHub Repository
Häufig gestellte Fragen
Was ist der Skill algorand-vulnerability-scanner?
algorand-vulnerability-scanner ist ein Claude Skill von trailofbits. Skills bündeln Anweisungen und Ressourcen, die Claude bei Bedarf lädt, um Aufgaben rund um algorand-vulnerability-scanner ohne zusätzliche Eingaben auszuführen.
Wie installiere ich algorand-vulnerability-scanner?
Verwende die Installationsbefehle auf dieser Seite: Füge algorand-vulnerability-scanner als Plugin zu Claude Code hinzu oder klone das Repository in dein Skills-Verzeichnis. Starte Claude danach neu, damit der Skill geladen wird.
Zu welcher Kategorie gehört algorand-vulnerability-scanner?
algorand-vulnerability-scanner gehört zur Kategorie Testen.
Kann ich algorand-vulnerability-scanner kostenlos nutzen?
Ja. algorand-vulnerability-scanner ist auf AIMCP gelistet und kann kostenlos installiert werden.
Verwandte Skills
Diese Claude Skill führt den lm-evaluation-harness aus, um LLMs über 60+ standardisierte akademische Aufgaben wie MMLU und GSM8K zu benchmarken. Sie wurde für Entwickler entwickelt, um Modellqualität zu vergleichen, Trainingsfortschritt zu verfolgen oder akademische Ergebnisse zu berichten. Das Tool unterstützt verschiedene Backends, einschließlich HuggingFace- und vLLM-Modelle.
Diese Fähigkeit bietet umfassendes Wissen zur Implementierung von Cloudflare Cron Triggers, um Workers mithilfe von Cron-Ausdrücken zu planen. Sie behandelt das Einrichten periodischer Aufgaben, Wartungsjobs und automatisierter Workflows, während häufige Probleme wie ungültige Cron-Ausdrücke und Zeitzonenprobleme behandelt werden. Entwickler können sie zum Konfigurieren geplanter Handler, zum Testen von Cron-Triggers und zur Integration mit Workflows und Green Compute verwenden.
Diese Claude Skill bietet ein Playwright-basiertes Toolkit zum Testen lokaler Webanwendungen durch Python-Skripte. Es ermöglicht Frontend-Verifizierung, UI-Debugging, Screenshot-Aufnahme und Log-Einblick bei gleichzeitiger Verwaltung von Server-Lebenszyklen. Nutzen Sie es für Browser-Automatisierungsaufgaben, führen Sie Skripte jedoch direkt aus, anstatt deren Quellcode zu lesen, um Kontextverschmutzung zu vermeiden.
Diese Fähigkeit unterstützt Entwickler dabei, abgeschlossene Arbeiten zu finalisieren, indem sie testet, ob Tests bestehen, und dann strukturierte Integrationsoptionen präsentiert. Sie leitet den Workflow für das Zusammenführen von Code, das Erstellen von PRs oder das Bereinigen von Branches nach Abschluss der Implementierung. Nutzen Sie sie, wenn Ihr Code bereit und getestet ist, um den Entwicklungsprozess systematisch abzuschließen.
