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cosmos-vulnerability-scanner

Cosmos SDKCosmWasmblockchain securitysmart contract auditvulnerability scanningGoRustconsensus
5.7k📄 CC-BY-SA-4.0🕒 2026-06-15Source ↗

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Works across Claude Code, Cursor, Codex, Copilot & Antigravity

The cosmos-vulnerability-scanner performs automated security audits specifically for Cosmos SDK blockchain modules and CosmWasm smart contracts. It monitors for nine distinct vulnerability patterns that frequently trigger consensus failures, chain halts, or financial loss. By inspecting Go-based custom modules and Rust-based CosmWasm code, the scanner flags non-deterministic logic, unsafe submessage handling, and incorrect arithmetic operations. It prioritizes the analysis of consensus-critical code paths—such as BeginBlocker, EndBlocker, and message handlers—to ensure code adherence to protocol security standards. The skill validates signers, cross-references token denomination handling, and audits state modification patterns. This scanner assists developers in identifying risks that static analysis tools like standard linters typically overlook in decentralized application environments, ensuring the chain remains secure, performant, and consistent across all validator nodes.

When to Use This Skill

  • Auditing custom Cosmos SDK modules before mainnet deployment
  • Investigating the root cause of an unexpected chain halt event
  • Reviewing state transitions within BeginBlocker and EndBlocker logic
  • Validating secure implementation of IBC packet handling

How to Invoke This Skill

Example prompts that trigger this skill in Claude Code, Cursor, or Antigravity:

  • run a security scan on my cosmos modules
  • check my chain's custom keepers for vulnerabilities
  • audit this cosmwasm contract for reentrancy bugs
  • is my abci logic consensus-safe?
  • find potential non-deterministic code in my module

Pro Tips

  • 💡Integrate this scanner into your CI/CD pipeline for automated, continuous security monitoring of all code changes.
  • 💡Combine with a thorough manual security review, especially for complex business logic that might not be caught by pattern-based scanners.
  • 💡Utilize alongside comprehensive unit and integration tests to ensure discovered vulnerabilities are effectively patched and no regressions are introduced.

What this skill does

  • Detection of 9 critical vulnerability patterns including non-determinism and reentrancy
  • Analysis of consensus-critical ABCI methods for computational complexity risks
  • Verification of signer validation in Go-based message handlers
  • Audit of Rust-based CosmWasm contracts for submessage and reply processing flaws
  • Detection of floating-point arithmetic or random number usage in consensus code

When not to use it

  • General non-blockchain Go code unrelated to the Cosmos SDK
  • High-level architecture design that does not involve state transitions

Example workflow

  1. Scan the repository for custom x/ modules and CosmWasm entry points
  2. Identify critical execution paths including BeginBlocker and message handlers
  3. Perform a non-determinism sweep searching for map iteration and non-standard time usage
  4. Validate arithmetic operations against sdk.Dec precision requirements
  5. Check all message types for proper GetSigners() verification
  6. Generate a report of identified vulnerabilities with remediation suggestions

Prerequisites

  • Access to a Cosmos SDK or CosmWasm project codebase
  • Understanding of Go or Rust in a blockchain context

Pitfalls & limitations

  • !May produce false positives in custom business logic that requires state snapshots
  • !Cannot replace manual peer review for complex, multi-module governance flows
  • !Depends on correct file structure; non-standard project layouts may be skipped

FAQ

Does this tool replace standard Go linters?
No, it complements them. Standard linters catch syntax issues, while this tool identifies logic vulnerabilities specific to distributed consensus and blockchain state management.
Can it scan external dependencies?
The scanner focuses primarily on your custom module code. It will flag insecure interactions with dependencies, but its primary function is auditing your specific module logic.
How does it detect non-determinism?
It uses pattern matching to identify risky operations, such as map iteration, random number generation, and system time calls, which cause consensus failure if executed inconsistently across nodes.

How it compares

While a manual prompt might catch simple bugs, this skill uses a structured, multi-step workflow optimized specifically for Cosmos-SDK consensus requirements that standard LLM prompts often miss.

Source & trust

5.7k stars📄 CC-BY-SA-4.0🕒 Updated 2026-06-15
📄 Full skill instructions — original source: trailofbits/skills
# Cosmos Vulnerability Scanner

## 1. Purpose

Systematically scan Cosmos SDK blockchain modules and CosmWasm smart contracts for platform-specific security vulnerabilities that can cause chain halts, consensus failures, or fund loss. This skill encodes 9 critical vulnerability patterns unique to Cosmos-based chains.

## 2. When to Use This Skill

- Auditing Cosmos SDK modules (custom x/ modules)
- Reviewing CosmWasm smart contracts (Rust)
- Pre-launch security assessment of Cosmos chains
- Investigating chain halt incidents
- Validating consensus-critical code changes
- Reviewing ABCI method implementations

## 3. Platform Detection

### File Extensions & Indicators
- **Go files**: .go, .proto
- **CosmWasm**: .rs (Rust with cosmwasm imports)

### Language/Framework Markers
// Cosmos SDK indicators
import (
"github.com/cosmos/cosmos-sdk/types"
sdk "github.com/cosmos/cosmos-sdk/types"
"github.com/cosmos/cosmos-sdk/x/..."
)

// Common patterns
keeper.Keeper
sdk.Msg, GetSigners()
BeginBlocker, EndBlocker
CheckTx, DeliverTx
protobuf service definitions


// CosmWasm indicators
use cosmwasm_std::*;
#[entry_point]
pub fn execute(deps: DepsMut, env: Env, info: MessageInfo, msg: ExecuteMsg)


### Project Structure
- x/modulename/ - Custom modules
- keeper/keeper.go - State management
- types/msgs.go - Message definitions
- abci.go - BeginBlocker/EndBlocker
- handler.go - Message handlers (legacy)

### Tool Support
- **CodeQL**: Custom rules for non-determinism and panics
- **go vet**, **golangci-lint**: Basic Go static analysis
- **Manual review**: Critical for consensus issues

---

## 4. How This Skill Works

When invoked, I will:

1. **Search your codebase** for Cosmos SDK modules
2. **Analyze each module** for the 9 vulnerability patterns
3. **Report findings** with file references and severity
4. **Provide fixes** for each identified issue
5. **Check message handlers** for validation issues

---

## 5. Example Output

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

=== COSMOS SDK VULNERABILITY SCAN RESULTS ===

Project: my-cosmos-chain
Files Scanned: 6 (.go)
Vulnerabilities Found: 2

---

[CRITICAL] Incorrect GetSigners()

---

## 5. Vulnerability Patterns (9 Patterns)

I check for 9 critical vulnerability patterns unique to CosmWasm. For detailed detection patterns, code examples, mitigations, and testing strategies, see [VULNERABILITY_PATTERNS.md](resources/VULNERABILITY_PATTERNS.md).

### Pattern Summary:

1. **Missing Denom Validation** ⚠️ CRITICAL - Accepting arbitrary token denoms
2. **Insufficient Authorization** ⚠️ CRITICAL - Missing sender/admin validation
3. **Missing Balance Check** ⚠️ HIGH - Not verifying sufficient balances
4. **Improper Reply Handling** ⚠️ HIGH - Unsafe submessage reply processing
5. **Missing Reply ID Check** ⚠️ MEDIUM - Not validating reply IDs
6. **Improper IBC Packet Validation** ⚠️ CRITICAL - Unvalidated IBC packets
7. **Unvalidated Execute Message** ⚠️ HIGH - Missing message validation
8. **Integer Overflow** ⚠️ HIGH - Unchecked arithmetic operations
9. **Reentrancy via Submessages** ⚠️ MEDIUM - State changes before submessages

For complete vulnerability patterns with code examples, see [VULNERABILITY_PATTERNS.md](resources/VULNERABILITY_PATTERNS.md).
## 5. Scanning Workflow

### Step 1: Platform Identification
1. Identify Cosmos SDK version (go.mod)
2. Locate custom modules (x/*/)
3. Find ABCI methods (abci.go, BeginBlocker, EndBlocker)
4. Identify message types (types/msgs.go, .proto)

### Step 2: Critical Path Analysis
Focus on consensus-critical code:
- BeginBlocker / EndBlocker implementations
- Message handlers (execute, DeliverTx)
- Keeper methods that modify state
- CheckTx priority logic

### Step 3: Non-Determinism Sweep
**This is the highest priority check for Cosmos chains.**
bash
# Search for non-deterministic patterns
grep -r "range.*map\[" x/
grep -r "\bint\b\|\buint\b" x/ | grep -v "int32\|int64\|uint32\|uint64"
grep -r "float32\|float64" x/
grep -r "go func\|go routine" x/
grep -r "select {" x/
grep -r "time.Now()" x/
grep -r "rand\." x/
For each finding:
1. Verify it's in consensus-critical path
2. Confirm it causes non-determinism
3. Assess severity (chain halt vs data inconsistency)

### Step 4: ABCI Method Analysis
Review BeginBlocker and EndBlocker:
- [ ] Computational complexity bounded?
- [ ] No unbounded iterations?
- [ ] No nested loops over large collections?
- [ ] Panic-prone operations validated?
- [ ] Benchmarked with maximum state?

### Step 5: Message Validation
For each message type:
- [ ] GetSigners() address matches handler usage?
- [ ] All error returns checked?
- [ ] Priority set in CheckTx if critical?
- [ ] Handler registered (or using v0.47+ auto-registration)?

### Step 6: Arithmetic & Bookkeeping
- [ ] sdk.Dec operations use multiply-before-divide?
- [ ] Rounding favors protocol over users?
- [ ] Custom bookkeeping synchronized with x/bank?
- [ ] Invariant checks in place?

---

## 6. Reporting Format

### Finding Template
markdown
## [CRITICAL] Non-Deterministic Map Iteration in EndBlocker

**Location**: x/dex/abci.go:45-52

**Description**:
The EndBlocker iterates over an unordered map to distribute rewards, causing different validators to process users in different orders and produce different state roots. This will halt the chain when validators fail to reach consensus.

**Vulnerable Code**:
// abci.go, line 45
func EndBlocker(ctx sdk.Context, k keeper.Keeper) {
rewards := k.GetPendingRewards(ctx) // Returns map[string]sdk.Coins
for user, amount := range rewards { // NON-DETERMINISTIC ORDER
k.bankKeeper.SendCoins(ctx, moduleAcc, user, amount)
}
}


**Attack Scenario**:
1. Multiple users have pending rewards
2. Different validators iterate in different orders due to map randomization
3. If any reward distribution fails mid-iteration, state diverges
4. Validators produce different app hashes
5. Chain halts - cannot reach consensus

**Recommendation**:
Sort map keys before iteration:
func EndBlocker(ctx sdk.Context, k keeper.Keeper) {
rewards := k.GetPendingRewards(ctx)

// Collect and sort keys for deterministic iteration
users := make([]string, 0, len(rewards))
for user := range rewards {
users = append(users, user)
}
sort.Strings(users) // Deterministic order

// Process in sorted order
for _, user := range users {
k.bankKeeper.SendCoins(ctx, moduleAcc, user, rewards[user])
}
}


**References**:
- building-secure-contracts/not-so-smart-contracts/cosmos/non_determinism
- Cosmos SDK docs: Determinism
---

## 7. Priority Guidelines

### Critical - CHAIN HALT Risk
- Non-determinism (any form)
- ABCI method panics
- Slow ABCI methods
- Incorrect GetSigners (allows unauthorized actions)

### High - Fund Loss Risk
- Missing error handling (bankKeeper.SendCoins)
- Broken bookkeeping (accounting mismatch)
- Missing message priority (oracle/emergency messages)

### Medium - Logic/DoS Risk
- Rounding errors (protocol value leakage)
- Unregistered message handlers (functionality broken)

---

## 8. Testing Recommendations

### Non-Determinism Testing
bash
# Build for different architectures
GOARCH=amd64 go build
GOARCH=arm64 go build

# Run same operations, compare state roots
# Must be identical across architectures

# Fuzz test with concurrent operations
go test -fuzz=FuzzEndBlocker -parallel=10
### ABCI Benchmarking
go
func BenchmarkBeginBlocker(b *testing.B) {
ctx := setupMaximalState() // Worst-case state
b.ResetTimer()

for i := 0; i < b.N; i++ {
BeginBlocker(ctx, keeper)
}

// Must complete in < 1 second
require.Less(b, b.Elapsed()/time.Duration(b.N), time.Second)
}
### Invariant Testing
go
// Run invariants in integration tests
func TestInvariants(t *testing.T) {
app := setupApp()

// Execute operations
app.DeliverTx(...)

// Check invariants
_, broken := keeper.AllInvariants()(app.Ctx)
require.False(t, broken, "invariant violation detected")
}
``

---

## 9. Additional Resources

- **Building Secure Contracts**:
building-secure-contracts/not-so-smart-contracts/cosmos/`
- **Cosmos SDK Docs**: https://docs.cosmos.network/
- **CodeQL for Go**: https://codeql.github.com/docs/codeql-language-guides/codeql-for-go/
- **Cosmos Security Best Practices**: https://github.com/cosmos/cosmos-sdk/blob/main/docs/docs/learn/advanced/17-determinism.md

---

## 10. Quick Reference Checklist

Before completing Cosmos chain audit:

**Non-Determinism (CRITICAL)**:
- [ ] No map iteration in consensus code
- [ ] No platform-dependent types (int, uint, float)
- [ ] No goroutines in message handlers/ABCI
- [ ] No select statements with multiple channels
- [ ] No rand, time.Now(), memory addresses
- [ ] All serialization is deterministic

**ABCI Methods (CRITICAL)**:
- [ ] BeginBlocker/EndBlocker computationally bounded
- [ ] No unbounded iterations
- [ ] No nested loops over large collections
- [ ] All panic-prone operations validated
- [ ] Benchmarked with maximum state

**Message Handling (HIGH)**:
- [ ] GetSigners() matches handler address usage
- [ ] All error returns checked
- [ ] Critical messages prioritized in CheckTx
- [ ] All message types registered

**Arithmetic & Accounting (MEDIUM)**:
- [ ] Multiply before divide pattern used
- [ ] Rounding favors protocol
- [ ] Custom bookkeeping synced with x/bank
- [ ] Invariant checks implemented

**Testing**:
- [ ] Cross-architecture builds tested
- [ ] ABCI methods benchmarked
- [ ] Invariants checked in CI
- [ ] Integration tests cover all messages

How to Use This Skill Unit

Option A: Project-Specific (Recommended)

  1. Click "Download" above
  2. In your project, create the directory: .agent/skills/cosmos-vulnerability-scanner/
  3. Save the file as SKILL.md
  4. The agent will automatically discover the skill based on its description.

Option B: Global Installation (All Agents)

Save the file to these locations to make it available across all projects:

  • Claude Code: ~/.claude/skills/trailofbits/skills/cosmos-vulnerability-scanner/SKILL.md
  • Cursor: ~/.cursor/skills/trailofbits/skills/cosmos-vulnerability-scanner/SKILL.md
  • Antigravity: ~/.gemini/antigravity/skills/trailofbits/skills/cosmos-vulnerability-scanner/SKILL.md

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For Cursor & Windsurf

For Cursor or Windsurf, individual skills are best used in the "Rules for AI" section. This specific unit helps the agent avoid security & vulnerability analysis issues, leading to cleaner, more efficient code.

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Source & attribution

This skill is categorized under Security & Vulnerability Analysis and is published by Trail of Bits, maintained in trailofbits/skills.

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