Cosmos Vulnerability Scanner

Cosmos Vulnerability Scanner is a community skill for detecting security vulnerabilities in Cosmos SDK blockchain applications, covering smart contract auditing, chain module inspection, IBC protocol verification, governance parameter validation, and automated security reporting for Cosmos ecosystem projects.

What Is This?

Overview

Cosmos Vulnerability Scanner provides patterns for identifying security issues in Cosmos SDK-based blockchains. It covers smart contract auditing that analyzes CosmWasm contracts for common vulnerability patterns including reentrancy and integer overflow, chain module inspection that reviews custom SDK modules for unsafe state transitions and improper access controls, IBC protocol verification that validates Inter-Blockchain Communication handlers for packet relay and channel security issues, governance parameter validation that checks module parameters for values that could destabilize the chain, and automated reporting that generates structured findings with severity ratings and remediation guidance. The skill enables security teams to systematically audit Cosmos SDK applications before deployment.

Who Should Use This

This skill serves blockchain security auditors reviewing Cosmos SDK applications, development teams building custom chains or CosmWasm contracts, and validator operators assessing the security posture of chains they participate in.

Why Use It?

Problems It Solves

Cosmos SDK applications involve complex state machines where vulnerabilities can lead to fund loss or chain halts. IBC protocol handlers introduce cross-chain attack surfaces that are difficult to audit manually. Custom module development often introduces access control gaps that are not caught by standard testing. Governance parameter misconfiguration can create economic exploits that damage the network.

Core Highlights

Contract scanner detects CosmWasm vulnerability patterns including unchecked arithmetic and missing authorization. Module auditor identifies unsafe state transitions and missing validation in SDK modules. IBC checker validates packet handling and channel security across connected chains. Parameter validator flags governance values outside safe ranges.

How to Use It?

Basic Usage

// CosmWasm contract vulnerability check
use cosmwasm_std::{
  Addr, Deps, Uint128,
  StdResult,
};

struct VulnCheck {
  name: String,
  severity: String,
  description: String,
}

fn check_overflow(
  a: Uint128,
  b: Uint128,
) -> StdResult<Uint128> {
  // Safe: uses checked_add
  // instead of raw addition
  a.checked_add(b)
    .map_err(|e|
      cosmwasm_std
        ::StdError
        ::overflow(e))
}

fn check_authorization(
  deps: Deps,
  sender: &Addr,
) -> StdResult<bool> {
  let admin = deps.storage
    .get(b"admin")
    .ok_or_else(||
      cosmwasm_std
        ::StdError
        ::not_found(
          "admin"))?;
  Ok(sender.as_bytes()
    == admin.as_slice())
}

Real-World Examples

import subprocess
import json
from pathlib import Path

class CosmosScanRunner:
  def __init__(
    self,
    project_dir: str
  ):
    self.project =\
      Path(project_dir)
    self.findings = []

  def scan_contracts(
    self
  ) -> list[dict]:
    wasm_files = list(
      self.project.glob(
        '**/*.rs'))
    for f in wasm_files:
      code = f.read_text()
      if 'unwrap()' in code:
        self.findings\
          .append({
            'file': str(f),
            'severity':
              'medium',
            'issue':
              'Unhandled '
              'unwrap may '
              'panic'})
      if 'raw_query'\
          in code:
        self.findings\
          .append({
            'file': str(f),
            'severity':
              'high',
            'issue':
              'Raw query '
              'bypasses '
              'access '
              'control'})
    return self.findings

  def report(self) -> dict:
    high = [f for f in
      self.findings
      if f['severity']
        == 'high']
    return {
      'total':
        len(self.findings),
      'high_severity':
        len(high),
      'findings':
        self.findings}

Advanced Tips

Run vulnerability scans against both the contract code and the compiled WASM binary to catch optimization-introduced issues. Test IBC handlers with malformed packet data to verify error handling does not leave partial state changes. Review the chain upgrade handler for migration vulnerabilities that could be exploited during version transitions.

When to Use It?

Use Cases

Audit CosmWasm smart contracts before mainnet deployment to identify common vulnerability patterns. Review custom Cosmos SDK modules for access control gaps and unsafe state transitions. Validate IBC channel handlers and packet relay logic across connected chains.

Related Topics

Blockchain security, Cosmos SDK, CosmWasm, IBC protocol, smart contract auditing, and vulnerability scanning.

Important Notes

Requirements

Cosmos SDK development environment with Go toolchain. Rust toolchain for CosmWasm contract analysis. Familiarity with Cosmos SDK module architecture and the IBC protocol specification.

Usage Recommendations

Do: scan both the Rust source and compiled WASM output since compiler optimizations can introduce divergent behavior. Verify IBC handler logic against the ICS specification for each channel type. Include governance parameter range checks in the audit scope.

Don't: rely solely on automated scanning without manual code review for business logic vulnerabilities. Skip testing module interactions where multiple modules share state or call each other through keepers. Ignore the upgrade handler which is a common source of migration vulnerabilities.

Limitations

Automated scanning detects known vulnerability patterns but cannot identify novel attack vectors or complex business logic flaws. Cross-module interaction vulnerabilities require manual analysis of keeper dependencies and shared state access. Scanning results may include false positives in codebases that use unconventional patterns or custom macro abstractions that obscure the underlying logic.