[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	Critical	In the Dify repository, which is a platform for building AI applications, this SQL injection vulnerability could allow attackers to execute arbitrary SQL commands on the ClickZetta data warehouse, potentially leading to full database compromise, exfiltration of sensitive user data, AI model configurations, or API keys, and disruption of AI workflows. The storage extension handles volume permissions, so exploitation could cascade to broader system access if the database contains privileged information.
Likelihood	Medium	Given Dify's usage as a user-facing platform for AI app development, the table_name parameter in the storage extension might be influenced by user inputs through API endpoints or configurations, making it exploitable if not validated. However, exploitation requires an attacker to have access to the affected functionality and knowledge of the database schema, which is not trivially public.
Ease of Fix	Easy	Remediation involves replacing the f-string SQL construction with parameterized queries or input sanitization, such as using the ClickZetta SDK's prepared statements, requiring minimal code changes in a single file with no expected breaking changes or dependency updates.

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 _check_table_exists function in api/extensions/storage/clickzetta_volume/volume_permissions.py constructs a raw SQL query using an f-string that directly interpolates the table_name parameter without any sanitization or parameterization. This allows an attacker who can control the table_name value—potentially through API endpoints, configuration files, or user inputs in Dify's AI application platform—to inject arbitrary SQL commands. In the context of Dify, which integrates with Clickzetta for data warehousing and storage operations (e.g., handling user-uploaded data, API keys, or AI model artifacts), this could enable data exfiltration or manipulation if the function is invoked during volume permission checks or data queries.

The _check_table_exists function in api/extensions/storage/clickzetta_volume/volume_permissions.py constructs a raw SQL query using an f-string that directly interpolates the table_name parameter without any sanitization or parameterization. This allows an attacker who can control the table_name value—potentially through API endpoints, configuration files, or user inputs in Dify's AI application platform—to inject arbitrary SQL commands. In the context of Dify, which integrates with Clickzetta for data warehousing and storage operations (e.g., handling user-uploaded data, API keys, or AI model artifacts), this could enable data exfiltration or manipulation if the function is invoked during volume permission checks or data queries.

# Proof-of-Concept: Simulating SQL Injection in _check_table_exists
# This assumes the function is called from a Dify API handler or internal logic where table_name comes from user input.
# In a real exploit, an attacker might control table_name via a web request to an endpoint like /api/storage/volume/permissions
# (hypothetical based on Dify's API structure for storage extensions).

import sys
import os

# Add the repository's api path to sys.path for import (assuming local clone of https://github.com/langgenius/dify)
sys.path.append(os.path.join(os.getcwd(), 'api'))

# Import the vulnerable module (this would work in a test environment with Dify's dependencies installed)
from extensions.storage.clickzetta_volume.volume_permissions import _check_table_exists

# Malicious table_name payload: Close the original query, inject a UNION SELECT to leak sensitive data,
# then comment out the rest. This assumes the query is something like f"SELECT * FROM {table_name} LIMIT 1"
# (based on typical existence checks in the file's context).
malicious_table_name = "some_legitimate_table' UNION SELECT api_key, user_id, secret_data FROM sensitive_user_table --"

# Call the function with the injected input. In exploitation, this might be triggered by:
# - A POST request to Dify's storage API with crafted JSON: {"table_name": "some_legitimate_table' UNION SELECT ..."}
# - Or via internal function calls if table_name is derived from untrusted config or file metadata.
try:
    result = _check_table_exists(table_name=malicious_table_name)
    print("Exploit successful: Function executed injected SQL.")
    print("Leaked data (simulated output):", result)  # In reality, this would return exfiltrated data
except Exception as e:
    print("Error (expected in safe test):", e)
    # In a real vulnerable setup, the injected SQL would execute against Clickzetta, leaking data.

# Alternative payload for data modification/deletion:
# malicious_table_name = "some_legitimate_table'; DROP TABLE sensitive_user_table; --"
# This would delete a table if the DB user has DROP privileges.

Exploitation Impact Assessment

Impact Category	Severity	Description
Data Exposure	High	Successful injection could exfiltrate all data in the Clickzetta warehouse, including sensitive user information (e.g., API keys for AI services, personal data from Dify apps, encrypted credentials, or AI model artifacts). This enables offline cracking of hashes or direct theft of secrets, potentially compromising all users' data across Dify's platform.
System Compromise	Medium	Depending on Clickzetta's user privileges, an attacker could escalate to higher DB roles, execute arbitrary SQL (e.g., CREATE/ALTER users), or pivot to other connected systems if Dify's architecture allows cross-service access (e.g., via shared cloud credentials). However, full system root access is unlikely without additional vulnerabilities in Clickzetta or Dify's deployment.
Operational Impact	High	Injection could delete tables, corrupt data, or exhaust resources (e.g., via heavy SELECT queries), causing Dify services to fail—such as AI app deployments, data processing pipelines, or user file storage. This could lead to widespread outages for dependent applications, requiring database restores and potentially days of downtime.
Compliance Risk	High	Violates GDPR (if EU user data is handled), SOC2 (data security controls), and OWASP Top 10 (Injection flaws), risking fines, legal action, or loss of certifications. Dify's AI platform may process regulated data (e.g., healthcare or financial via custom apps), amplifying risks to industry standards like HIPAA or PCI-DSS.

Vulnerability Details

• Rule ID: V-001
• File: api/extensions/storage/clickzetta_volume/volume_permissions.py
• Description: The _check_table_exists function constructs a raw SQL query using an f-string to insert a table name. The table_name parameter is not sanitized or validated, allowing an attacker who can control this variable to inject arbitrary SQL commands.

Changes Made

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

Files Modified

• api/extensions/storage/clickzetta_volume/volume_permissions.py

Verification

This fix has been automatically verified through:

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

🤖 This PR was automatically generated.

[gemini-code-assist[bot]]

Summary of Changes

Hello @orbisai0security, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request implements a critical security fix for a SQL injection vulnerability within the Dify platform's ClickZetta storage extension. The changes focus on preventing unauthorized database access and data manipulation by introducing stringent input validation for SQL identifiers and refining the logic for checking table permissions to eliminate insecure query patterns. This significantly enhances the application's defense against database compromise and sensitive data exfiltration.

Highlights

• Critical SQL Injection Vulnerability Fix: This pull request addresses a critical SQL injection vulnerability (V-001) found in the _check_table_exists function within api/extensions/storage/clickzetta_volume/volume_permissions.py. The vulnerability arose from directly interpolating the table_name parameter into an f-string SQL query without sanitization, allowing arbitrary SQL command execution.
• Robust Input Validation for SQL Identifiers: A new private helper method, _is_valid_identifier, has been introduced. This method uses a strict regular expression to validate SQL identifiers (such as volume_name), ensuring they only contain alphanumeric characters, underscores, and dots, and start with a letter or underscore. This prevents injection by rejecting malformed or malicious inputs.
• Enhanced Permission Checking Logic: The _get_table_permissions function has been modified to remove an insecure fallback query. Previously, if explicit permissions were not found via SHOW GRANTS, the system would attempt a SELECT COUNT(*) query, which could have been exploited. The function now relies solely on the explicit SHOW GRANTS check for determining table permissions, improving security by removing a potential attack vector.

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