
Substrate Vulnerability Scanner
FreeIdentify critical vulnerabilities in Substrate pallets.
Free · Opens the source repo
What Substrate Vulnerability Scanner does
The Substrate Vulnerability Scanner is a specialized tool designed for developers working with Substrate and FRAME-based chains. It systematically scans runtime modules, known as pallets, to detect seven critical vulnerability patterns that could lead to node crashes, denial-of-service (DoS) attacks, or unauthorized access. This skill is particularly useful for those involved in the auditing and security assessment of Substrate runtimes, ensuring that custom pallets are secure before deployment.
When you invoke the scanner, it will search through your codebase for Substrate pallets, analyze each one for the specified vulnerabilities, and report findings along with the severity of each issue. The scanner checks for common pitfalls such as arithmetic overflows, panic conditions, improper weight calculations, and inadequate validation of transaction origins. By providing actionable insights and potential fixes for identified vulnerabilities, it helps developers enhance the security posture of their applications.
This skill is ideal for developers who are reviewing FRAME runtime code, conducting pre-launch security assessments, or validating dispatchable extrinsic functions. It ensures that critical security checks are integrated into the development workflow, thus reducing the risk of vulnerabilities that can be exploited in production environments. The scanner is also compatible with various tools within the Rust ecosystem, making it a valuable addition to any Substrate development toolkit.
For detailed detection patterns, code examples, and mitigation strategies, users can refer to the accompanying VULNERABILITY_PATTERNS.md document, which provides essential guidance on addressing the vulnerabilities identified during the scan.
When to use it
Use this skill when auditing custom Substrate pallets or conducting pre-launch security assessments of Substrate-based chains.
When not to use it
This skill is not suitable for non-Substrate projects or for detecting vulnerabilities outside the defined patterns specific to Substrate and FRAME.
What you can build with it
Auditing Substrate Pallets
Use the scanner to review custom Substrate pallets for security vulnerabilities before launch.
Pre-Launch Security Assessment
Conduct a thorough security assessment of your Substrate chains to ensure compliance with security best practices.
Validating Extrinsic Functions
Analyze dispatchable extrinsic functions for proper validation and security measures.
How to install Substrate Vulnerability Scanner
View source1. Install with the skills CLI
npx skills add trailofbits/skills/substrate-vulnerability-scanner --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by trailofbitsSubstrate Vulnerability Scanner
1. Purpose
Systematically scan Substrate runtime modules (pallets) for platform-specific security vulnerabilities that can cause node crashes, DoS attacks, or unauthorized access. This skill encodes 7 critical vulnerability patterns unique to Substrate/FRAME-based chains.
2. When to Use This Skill
- Auditing custom Substrate pallets
- Reviewing FRAME runtime code
- Pre-launch security assessment of Substrate chains (Polkadot parachains, standalone chains)
- Validating dispatchable extrinsic functions
- Reviewing weight calculation functions
- Assessing unsigned transaction validation logic
3. Platform Detection
File Extensions & Indicators
- Rust files:
.rs
Language/Framework Markers
// Substrate/FRAME indicators
#[pallet]
pub mod pallet {
use frame_support::pallet_prelude::*;
use frame_system::pallet_prelude::*;
#[pallet::config]
pub trait Config: frame_system::Config { }
#[pallet::call]
impl<T: Config> Pallet<T> {
#[pallet::weight(10_000)]
pub fn example_function(origin: OriginFor<T>) -> DispatchResult { }
}
}
// Common patterns
DispatchResult, DispatchError
ensure!, ensure_signed, ensure_root
StorageValue, StorageMap, StorageDoubleMap
#[pallet::storage]
#[pallet::call]
#[pallet::weight]
#[pallet::validate_unsigned]
Project Structure
pallets/*/lib.rs- Pallet implementationsruntime/lib.rs- Runtime configurationbenchmarking.rs- Weight benchmarksCargo.tomlwithframe-*dependencies
Tool Support
- cargo-fuzz: Fuzz testing for Rust
- test-fuzz: Property-based testing framework
- benchmarking framework: Built-in weight calculation
- try-runtime: Runtime migration testing
4. How This Skill Works
When invoked, I will:
- Search your codebase for Substrate pallets
- Analyze each pallet for the 7 vulnerability patterns
- Report findings with file references and severity
- Provide fixes for each identified issue
- Check weight calculations and origin validation
5. Vulnerability Patterns (7 Critical Patterns)
I check for 7 critical vulnerability patterns unique to Substrate/FRAME. For detailed detection patterns, code examples, mitigations, and testing strategies, see VULNERABILITY_PATTERNS.md.
Pattern Summary:
-
Arithmetic Overflow ⚠️ CRITICAL
- Direct
+,-,*,/operators wrap in release mode - Must use
checked_*orsaturating_*methods - Affects balance/token calculations, reward/fee math
- Direct
-
Don't Panic ⚠️ CRITICAL - DoS
- Panics cause node to stop processing blocks
- No
unwrap(),expect(), array indexing without bounds check - All user input must be validated with
ensure!
-
Weights and Fees ⚠️ CRITICAL - DoS
- Incorrect weights allow spam attacks
- Fixed weights for variable-cost operations enable DoS
- Must use benchmarking framework, bound all input parameters
-
Verify First, Write Last ⚠️ HIGH (Pre-v0.9.25)
- Storage writes before validation persist on error (pre-v0.9.25)
- Pattern: validate → write → emit event
- Upgrade to v0.9.25+ or use manual
#[transactional]
-
Unsigned Transaction Validation ⚠️ HIGH
- Insufficient validation allows spam/replay attacks
- Prefer signed transactions
- If unsigned: validate parameters, replay protection, authenticate source
-
Bad Randomness ⚠️ MEDIUM
pallet_randomness_collective_flipvulnerable to collusion- Must use BABE randomness (
pallet_babe::RandomnessFromOneEpochAgo) - Use
random(subject)notrandom_seed()
-
Bad Origin ⚠️ CRITICAL
ensure_signedallows any user for privileged operations- Must use
ensure_rootor custom origins (ForceOrigin, AdminOrigin) - Origin types must be properly configured in runtime
For complete vulnerability patterns with code examples, see VULNERABILITY_PATTERNS.md.
6. Scanning Workflow
Step 1: Platform Identification
- Verify Substrate/FRAME framework usage
- Check Substrate version (v0.9.25+ has transactional storage)
- Locate pallet implementations (
pallets/*/lib.rs) - Identify runtime configuration (
runtime/lib.rs)
Step 2: Dispatchable Analysis
For each #[pallet::call] function:
- Arithmetic: Uses checked/saturating operations?
- Panics: No unwrap/expect/indexing?
- Weights: Proportional to cost, bounded inputs?
- Origin: Appropriate validation level?
- Validation: All checks before storage writes?
Step 3: Panic Sweep
# Search for panic-prone patterns
rg "unwrap\(\)" pallets/
rg "expect\(" pallets/
rg "\[.*\]" pallets/ # Array indexing
rg " as u\d+" pallets/ # Type casts
rg "\.unwrap_or" pallets/
Step 4: Arithmetic Safety Check
# Find direct arithmetic
rg " \+ |\+=| - |-=| \* |\*=| / |/=" pallets/
# Should find checked/saturating alternatives instead
rg "checked_add|checked_sub|checked_mul|checked_div" pallets/
rg "saturating_add|saturating_sub|saturating_mul" pallets/
Step 5: Weight Analysis
- Run benchmarking:
cargo test --features runtime-benchmarks - Verify weights match computational cost
- Check for bounded input parameters
- Review weight calculation functions
Step 6: Origin & Privilege Review
# Find privileged operations
rg "ensure_signed" pallets/ | grep -E "pause|emergency|admin|force|sudo"
# Should use ensure_root or custom origins
rg "ensure_root|ForceOrigin|AdminOrigin" pallets/
Step 7: Testing Review
- Unit tests cover all dispatchables
- Fuzz tests for panic conditions
- Benchmarks for weight calculation
- try-runtime tests for migrations
7. Priority Guidelines
Critical (Immediate Fix Required)
- Arithmetic overflow (token creation, balance manipulation)
- Panic DoS (node crash risk)
- Bad origin (unauthorized privileged operations)
High (Fix Before Launch)
- Incorrect weights (DoS via spam)
- Verify-first violations (state corruption, pre-v0.9.25)
- Unsigned validation issues (spam, replay attacks)
Medium (Address in Audit)
- Bad randomness (manipulation possible but limited impact)
8. Testing Recommendations
Fuzz Testing
// Use test-fuzz for property-based testing
#[cfg(test)]
mod tests {
use test_fuzz::test_fuzz;
#[test_fuzz]
fn fuzz_transfer(from: AccountId, to: AccountId, amount: u128) {
// Should never panic
let _ = Pallet::transfer(from, to, amount);
}
#[test_fuzz]
fn fuzz_no_panics(call: Call) {
// No dispatchable should panic
let _ = call.dispatch(origin);
}
}
Benchmarking
# Run benchmarks to generate weights
cargo build --release --features runtime-benchmarks
./target/release/node benchmark pallet \
--chain dev \
--pallet pallet_example \
--extrinsic "*" \
--steps 50 \
--repeat 20
try-runtime
# Test runtime upgrades
cargo build --release --features try-runtime
try-runtime --runtime ./target/release/wbuild/runtime.wasm \
on-runtime-upgrade live --uri wss://rpc.polkadot.io
9. Additional Resources
- Building Secure Contracts:
building-secure-contracts/not-so-smart-contracts/substrate/ - Substrate Documentation: https://docs.substrate.io/
- FRAME Documentation: https://paritytech.github.io/substrate/master/frame_support/
- test-fuzz: https://github.com/trailofbits/test-fuzz
- Substrate StackExchange: https://substrate.stackexchange.com/
10. Quick Reference Checklist
Before completing Substrate pallet audit:
Arithmetic Safety (CRITICAL):
- No direct
+,-,*,/operators in dispatchables - All arithmetic uses
checked_*orsaturating_* - Type conversions use
try_into()with error handling
Panic Prevention (CRITICAL):
- No
unwrap()orexpect()in dispatchables - No direct array/slice indexing without bounds check
- All user inputs validated with
ensure! - Division operations check for zero divisor
Weights & DoS (CRITICAL):
- Weights proportional to computational cost
- Input parameters have maximum bounds
- Benchmarking used to determine weights
- No free (zero-weight) expensive operations
Access Control (CRITICAL):
- Privileged operations use
ensure_rootor custom origins -
ensure_signedonly for user-level operations - Origin types properly configured in runtime
- Sudo pallet removed before production
Storage Safety (HIGH):
- Using Substrate v0.9.25+ OR manual
#[transactional] - Validation before storage writes
- Events emitted after successful operations
Other (MEDIUM):
- Unsigned transactions use signed alternative if possible
- If unsigned: proper validation, replay protection, authentication
- BABE randomness used (not RandomnessCollectiveFlip)
- Randomness uses
random(subject)notrandom_seed()
Testing:
- Unit tests for all dispatchables
- Fuzz tests to find panics
- Benchmarks generated and verified
- try-runtime tests for migrations
Frequently asked questions about Substrate Vulnerability Scanner
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