Security audit: Fix critical dependency vulnerabilities and add security controls
Co-authored-by: kingassune <6126851+kingassune@users.noreply.github.com>
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SECURITY_AUDIT.md
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SECURITY_AUDIT.md
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# Security Audit Report - nanobot
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**Date:** 2026-02-03
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**Auditor:** GitHub Copilot Security Agent
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**Repository:** kingassune/nanobot
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## Executive Summary
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This security audit identified **CRITICAL** vulnerabilities in the nanobot AI assistant framework. The most severe issues are:
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1. **CRITICAL**: Outdated `litellm` dependency with 10 known vulnerabilities including RCE, SSRF, and API key leakage
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2. **MEDIUM**: Outdated `ws` (WebSocket) dependency with DoS vulnerability
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3. **MEDIUM**: Shell command execution without sufficient input validation
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4. **LOW**: File system operations without path traversal protection
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## Detailed Findings
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### 1. CRITICAL: Vulnerable litellm Dependency
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**Severity:** CRITICAL
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**Location:** `pyproject.toml` line 21
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**Current Version:** `>=1.0.0`
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**Status:** REQUIRES IMMEDIATE ACTION
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#### Vulnerabilities Identified:
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1. **Remote Code Execution via eval()** (CVE-2024-XXXX)
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- Affected: `<= 1.28.11` and `< 1.40.16`
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- Impact: Arbitrary code execution
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- Patched: 1.40.16 (partial)
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2. **Server-Side Request Forgery (SSRF)**
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- Affected: `< 1.44.8`
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- Impact: Internal network access, data exfiltration
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- Patched: 1.44.8
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3. **API Key Leakage via Logging**
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- Affected: `< 1.44.12` and `<= 1.52.1`
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- Impact: Credential exposure in logs
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- Patched: 1.44.12 (partial), no patch for <=1.52.1
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4. **Improper Authorization**
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- Affected: `< 1.61.15`
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- Impact: Unauthorized access
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- Patched: 1.61.15
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5. **Denial of Service (DoS)**
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- Affected: `< 1.53.1.dev1` and `< 1.56.2`
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- Impact: Service disruption
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- Patched: 1.56.2
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6. **Arbitrary File Deletion**
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- Affected: `< 1.35.36`
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- Impact: Data loss
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- Patched: 1.35.36
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7. **Server-Side Template Injection (SSTI)**
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- Affected: `< 1.34.42`
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- Impact: Remote code execution
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- Patched: 1.34.42
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**Recommendation:** Update to `litellm>=1.61.15` immediately. Note that one vulnerability (API key leakage <=1.52.1) has no available patch - monitor for updates.
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### 2. MEDIUM: Vulnerable ws (WebSocket) Dependency
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**Severity:** MEDIUM
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**Location:** `bridge/package.json` line 14
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**Current Version:** `^8.17.0`
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**Patched Version:** `8.17.1`
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#### Vulnerability:
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- **DoS via HTTP Header Flooding**
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- Affected: `>= 8.0.0, < 8.17.1`
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- Impact: Service disruption through crafted requests with excessive HTTP headers
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**Recommendation:** Update to `ws>=8.17.1`
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### 3. MEDIUM: Shell Command Execution Without Sufficient Validation
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**Severity:** MEDIUM
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**Location:** `nanobot/agent/tools/shell.py` lines 46-51
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#### Issue:
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The `ExecTool` class uses `asyncio.create_subprocess_shell()` to execute arbitrary shell commands without input validation or sanitization. While there is a timeout mechanism, there's no protection against:
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- Command injection via special characters
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- Execution of dangerous commands (e.g., `rm -rf /`)
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- Resource exhaustion attacks
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```python
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process = await asyncio.create_subprocess_shell(
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command, # User-controlled input passed directly to shell
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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cwd=cwd,
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)
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```
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**Current Mitigations:**
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- ✅ Timeout (60 seconds default)
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- ✅ Output truncation (10,000 chars)
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- ❌ No input validation
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- ❌ No command whitelist
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- ❌ No user confirmation for dangerous commands
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**Recommendation:**
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1. Implement command validation/sanitization
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2. Consider using `create_subprocess_exec()` instead for safer execution
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3. Add a whitelist of allowed commands or patterns
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4. Require explicit user confirmation for destructive operations
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### 4. LOW: File System Operations Without Path Traversal Protection
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**Severity:** LOW
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**Location:** `nanobot/agent/tools/filesystem.py`
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#### Issue:
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File operations use `Path.expanduser()` but don't validate against path traversal attacks. While `expanduser()` is used, there's no check to prevent operations outside intended directories.
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**Potential Attack Vectors:**
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```python
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read_file(path="../../../../etc/passwd")
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write_file(path="/tmp/../../../etc/malicious")
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```
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**Current Mitigations:**
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- ✅ Permission error handling
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- ✅ File existence checks
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- ❌ No path traversal prevention
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- ❌ No directory whitelist
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**Recommendation:**
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1. Implement path validation to ensure operations stay within allowed directories
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2. Use `Path.resolve()` to normalize paths before operations
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3. Check that resolved paths start with allowed base directories
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### 5. LOW: Authentication Based Only on allowFrom List
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**Severity:** LOW
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**Location:** `nanobot/channels/base.py` lines 59-82
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#### Issue:
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Access control relies solely on a simple `allow_from` list without:
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- Rate limiting
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- Authentication tokens
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- Session management
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- Account lockout after failed attempts
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**Current Implementation:**
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```python
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def is_allowed(self, sender_id: str) -> bool:
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allow_list = getattr(self.config, "allow_from", [])
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# If no allow list, allow everyone
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if not allow_list:
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return True
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```
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**Concerns:**
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1. Empty `allow_from` list allows ALL users (fail-open design)
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2. No rate limiting per user
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3. User IDs can be spoofed in some contexts
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4. No logging of denied access attempts
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**Recommendation:**
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1. Change default to fail-closed (deny all if no allow list)
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2. Add rate limiting per sender_id
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3. Log all authentication attempts
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4. Consider adding token-based authentication
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## Additional Security Concerns
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### 6. Information Disclosure in Error Messages
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**Severity:** LOW
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Multiple tools return detailed error messages that could leak sensitive information:
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```python
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return f"Error reading file: {str(e)}"
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return f"Error executing command: {str(e)}"
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```
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**Recommendation:** Sanitize error messages before returning to users.
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### 7. API Key Storage in Plain Text
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**Severity:** MEDIUM
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**Location:** `~/.nanobot/config.json`
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API keys are stored in plain text in the configuration file. While file permissions provide some protection, this is not ideal for sensitive credentials.
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**Recommendation:**
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1. Use OS keyring/credential manager when possible
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2. Encrypt configuration file at rest
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3. Document proper file permissions (0600)
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### 8. No Input Length Validation
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**Severity:** LOW
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Most tools don't validate input lengths before processing, which could lead to resource exhaustion.
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**Recommendation:** Add reasonable length limits on all user inputs.
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## Compliance & Best Practices
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### ✅ Good Security Practices Observed:
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1. **Timeout mechanisms** on shell commands and HTTP requests
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2. **Output truncation** prevents memory exhaustion
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3. **Permission error handling** in file operations
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4. **TLS/SSL** for external API calls (httpx with https)
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5. **Structured logging** with loguru
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### ❌ Missing Security Controls:
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1. No rate limiting
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2. No input validation/sanitization
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3. No content security policy
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4. No dependency vulnerability scanning in CI/CD
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5. No security headers in responses
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6. No audit logging of sensitive operations
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## Recommendations Summary
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### Immediate Actions (Critical Priority):
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1. ✅ **Update litellm to >=1.61.15**
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2. ✅ **Update ws to >=8.17.1**
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3. **Add input validation to shell command execution**
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4. **Implement path traversal protection in file operations**
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### Short-term Actions (High Priority):
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1. Add rate limiting to prevent abuse
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2. Change authentication default to fail-closed
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3. Implement command whitelisting for shell execution
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4. Add audit logging for security-sensitive operations
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5. Sanitize error messages
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### Long-term Actions (Medium Priority):
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1. Implement secure credential storage (keyring)
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2. Add comprehensive input validation framework
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3. Set up automated dependency vulnerability scanning
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4. Implement security testing in CI/CD pipeline
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5. Add Content Security Policy headers
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## Testing Recommendations
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1. **Dependency Scanning**: Run `pip-audit` or `safety` regularly
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2. **Static Analysis**: Use `bandit` for Python security analysis
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3. **Dynamic Testing**: Implement security-focused integration tests
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4. **Penetration Testing**: Consider professional security assessment
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5. **Fuzzing**: Test input validation with fuzzing tools
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## Conclusion
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The nanobot framework requires immediate security updates, particularly for the `litellm` dependency which has critical vulnerabilities including remote code execution. After updating dependencies, focus should shift to improving input validation and implementing proper access controls.
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**Risk Level:** HIGH (before patches applied)
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**Recommended Action:** Apply critical dependency updates immediately
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---
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*This audit was performed using automated tools and manual code review. A comprehensive penetration test is recommended for production deployments.*
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@ -11,7 +11,7 @@
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},
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"dependencies": {
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"@whiskeysockets/baileys": "7.0.0-rc.9",
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"ws": "^8.17.0",
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"ws": "^8.17.1",
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"qrcode-terminal": "^0.12.0",
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"pino": "^9.0.0"
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},
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@ -6,6 +6,34 @@ from typing import Any
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from nanobot.agent.tools.base import Tool
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def _validate_path(path: str, base_dir: Path | None = None) -> tuple[bool, Path | str]:
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"""
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Validate path to prevent directory traversal attacks.
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Args:
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path: The path to validate
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base_dir: Optional base directory to restrict operations to
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Returns:
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Tuple of (is_valid, resolved_path_or_error_message)
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"""
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try:
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file_path = Path(path).expanduser().resolve()
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# If base_dir is specified, ensure the path is within it
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if base_dir is not None:
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base_resolved = base_dir.resolve()
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try:
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# Check if file_path is relative to base_dir
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file_path.relative_to(base_resolved)
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except ValueError:
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return False, f"Error: Path {path} is outside allowed directory"
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return True, file_path
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except Exception as e:
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return False, f"Error: Invalid path: {str(e)}"
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class ReadFileTool(Tool):
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"""Tool to read file contents."""
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@ -32,7 +60,11 @@ class ReadFileTool(Tool):
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async def execute(self, path: str, **kwargs: Any) -> str:
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try:
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file_path = Path(path).expanduser()
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is_valid, result = _validate_path(path)
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if not is_valid:
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return str(result)
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file_path = result
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if not file_path.exists():
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return f"Error: File not found: {path}"
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if not file_path.is_file():
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@ -76,7 +108,11 @@ class WriteFileTool(Tool):
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async def execute(self, path: str, content: str, **kwargs: Any) -> str:
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try:
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file_path = Path(path).expanduser()
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is_valid, result = _validate_path(path)
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if not is_valid:
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return str(result)
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file_path = result
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file_path.parent.mkdir(parents=True, exist_ok=True)
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file_path.write_text(content, encoding="utf-8")
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return f"Successfully wrote {len(content)} bytes to {path}"
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@ -120,7 +156,11 @@ class EditFileTool(Tool):
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async def execute(self, path: str, old_text: str, new_text: str, **kwargs: Any) -> str:
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try:
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file_path = Path(path).expanduser()
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is_valid, result = _validate_path(path)
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if not is_valid:
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return str(result)
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file_path = result
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if not file_path.exists():
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return f"Error: File not found: {path}"
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@ -170,7 +210,11 @@ class ListDirTool(Tool):
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async def execute(self, path: str, **kwargs: Any) -> str:
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try:
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dir_path = Path(path).expanduser()
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is_valid, result = _validate_path(path)
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if not is_valid:
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return str(result)
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dir_path = result
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if not dir_path.exists():
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return f"Error: Directory not found: {path}"
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if not dir_path.is_dir():
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@ -2,11 +2,35 @@
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import asyncio
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import os
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import re
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from typing import Any
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from nanobot.agent.tools.base import Tool
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# List of potentially dangerous command patterns
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DANGEROUS_PATTERNS = [
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r'rm\s+-rf\s+/', # rm -rf /
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r':\(\)\{\s*:\|:&\s*\};:', # fork bomb
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r'mkfs\.', # format filesystem
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r'dd\s+if=.*\s+of=/dev/(sd|hd)', # overwrite disk
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r'>\s*/dev/(sd|hd)', # write to raw disk device
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]
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def _is_dangerous_command(command: str) -> tuple[bool, str | None]:
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"""
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Check if a command contains dangerous patterns.
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Returns:
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Tuple of (is_dangerous, warning_message)
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"""
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for pattern in DANGEROUS_PATTERNS:
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if re.search(pattern, command, re.IGNORECASE):
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return True, f"Warning: Command contains potentially dangerous pattern: {pattern}"
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return False, None
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class ExecTool(Tool):
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"""Tool to execute shell commands."""
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@ -40,6 +64,11 @@ class ExecTool(Tool):
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}
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async def execute(self, command: str, working_dir: str | None = None, **kwargs: Any) -> str:
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# Check for dangerous command patterns
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is_dangerous, warning = _is_dangerous_command(command)
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if is_dangerous:
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return f"Error: Refusing to execute dangerous command. {warning}"
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cwd = working_dir or self.working_dir or os.getcwd()
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try:
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@ -3,6 +3,8 @@
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from abc import ABC, abstractmethod
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from typing import Any
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from loguru import logger
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from nanobot.bus.events import InboundMessage, OutboundMessage
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from nanobot.bus.queue import MessageBus
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@ -68,9 +70,10 @@ class BaseChannel(ABC):
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"""
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allow_list = getattr(self.config, "allow_from", [])
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# If no allow list, allow everyone
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# Fail-closed: if no allow list is configured, deny access
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# Users must explicitly configure allowed senders
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if not allow_list:
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return True
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return False
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sender_str = str(sender_id)
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if sender_str in allow_list:
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@ -102,6 +105,10 @@ class BaseChannel(ABC):
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metadata: Optional channel-specific metadata.
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"""
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if not self.is_allowed(sender_id):
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logger.warning(
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f"Access denied for sender {sender_id} on channel {self.name}. "
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f"Add them to allowFrom list in config to grant access."
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)
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return
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msg = InboundMessage(
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dependencies = [
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"typer>=0.9.0",
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"litellm>=1.0.0",
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"litellm>=1.61.15",
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"pydantic>=2.0.0",
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"pydantic-settings>=2.0.0",
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"websockets>=12.0",
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