CVE-2023-34233 in Connector
Summary
by MITRE • 06/09/2023
The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Versions prior to 3.0.2 are vulnerable to command injection via single sign-on(SSO) browser URL authentication. In order to exploit the potential for command injection, an attacker would need to be successful in (1) establishing a malicious resource and (2) redirecting users to utilize the resource. The attacker could set up a malicious, publicly accessible server which responds to the SSO URL with an attack payload. If the attacker then tricked a user into visiting the maliciously crafted connection URL, the user’s local machine would render the malicious payload, leading to a remote code execution. This attack scenario can be mitigated through URL whitelisting as well as common anti-phishing resources. Version 3.0.2 contains a patch for this issue.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 07/07/2023
The Snowflake Connector for Python represents a critical component in data analytics ecosystems, enabling Python applications to interact seamlessly with Snowflake cloud data platforms. This connector serves as a bridge between Python-based applications and Snowflake's distributed computing environment, facilitating data manipulation, querying, and management operations. However, version 3.0.1 and earlier implementations contained a significant security vulnerability that exploited the single sign-on authentication mechanism, creating a pathway for remote code execution through command injection attacks. The vulnerability specifically targeted the browser URL handling process during SSO authentication, where user-provided URLs were not adequately sanitized or validated before being processed. This flaw falls under the CWE-77 attack pattern, which describes command injection vulnerabilities where attacker-controlled data is inserted into system commands without proper sanitization.
The exploitation vector requires a sophisticated attack scenario involving two critical components for successful compromise. First, an attacker must establish a malicious resource that can respond to the SSO URL requests, typically through a publicly accessible server configured to deliver crafted payloads. Second, the attacker needs to redirect legitimate users to utilize this malicious resource through carefully crafted connection URLs. The vulnerability manifests when the Python connector processes the SSO URL and executes system commands based on the received data without proper input validation or sanitization. This creates a remote code execution vulnerability where malicious payloads can be executed on the user's local machine, potentially compromising the entire system. The attack leverages the trust relationship between the connector and the user's local browser, making it particularly dangerous as it operates within the legitimate user context. The threat model aligns with ATT&CK technique T1059.003 for command and scripting interpreter, where adversaries use legitimate system tools to execute malicious code.
The operational impact of this vulnerability extends beyond simple data compromise, as it can lead to complete system takeover and data exfiltration. When an authenticated user accesses a maliciously crafted connection URL, the system executes arbitrary commands with the privileges of the user account, potentially allowing attackers to install malware, modify system configurations, or extract sensitive data. The vulnerability affects organizations that rely on Snowflake's Python connector for data integration and analytics, particularly those with less stringent security controls or user education programs. The attack requires social engineering elements to trick users into visiting malicious URLs, making it harder to detect compared to direct network-based attacks. Organizations with multiple users accessing Snowflake through the Python connector face increased risk exposure, as compromising a single user account can provide access to the entire data platform. The vulnerability also impacts the broader Snowflake ecosystem, as it demonstrates potential issues in third-party connector implementations that may not follow proper security practices for URL handling and command execution.
Mitigation strategies for this vulnerability encompass multiple layers of defense to protect against command injection attacks. The most effective immediate solution involves upgrading to version 3.0.2 or later, which includes patches specifically addressing the URL sanitization issue. Organizations should implement comprehensive URL whitelisting policies that restrict the connector from accepting arbitrary URLs, particularly those pointing to external resources. Additional protective measures include implementing web application firewalls, network segmentation, and strict access controls for users who interact with Snowflake through the Python connector. Security awareness training for developers and end users becomes crucial in preventing successful social engineering attacks that could lead to exploitation. Organizations should also consider implementing monitoring solutions that can detect unusual command execution patterns or unexpected network connections during SSO authentication processes. The vulnerability highlights the importance of proper input validation and sanitization in all system components, particularly those handling user-provided data in execution contexts. Regular security assessments and vulnerability scanning of third-party components should be part of the overall security posture to identify similar issues in other connectors or libraries used within the organization's data infrastructure.