Description
A SQL injection vulnerability exists in Meshery prior to version v0.6.179, enabling a remote attacker to retrieve sensitive information and execute arbitrary code through the “order” parameter
EPSS Score:
1%
Comprehensive Technical Analysis of EUVD-2023-2939
1. Vulnerability Assessment and Severity Evaluation
The vulnerability EUVD-2023-2939, also known as CVE-2023-46575, is a SQL injection flaw in Meshery prior to version v0.6.179. This vulnerability allows a remote attacker to retrieve sensitive information and execute arbitrary code through the "order" parameter. The CVSS (Common Vulnerability Scoring System) base score of 9.8 indicates a critical severity level. The scoring vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H highlights the following:
- Attack Vector (AV): Network (N) - The vulnerability can be exploited remotely over the network.
- Attack Complexity (AC): Low (L) - The attack requires minimal skill or resources.
- Privileges Required (PR): None (N) - No special privileges are needed to exploit the vulnerability.
- User Interaction (UI): None (N) - No user interaction is required for the attack to succeed.
- Scope (S): Unchanged (U) - The vulnerability does not change the security scope.
- Confidentiality (C): High (H) - The vulnerability can lead to a significant breach of confidentiality.
- Integrity (I): High (H) - The vulnerability can lead to a significant breach of integrity.
- Availability (A): High (H) - The vulnerability can lead to a significant breach of availability.
2. Potential Attack Vectors and Exploitation Methods
The primary attack vector for this vulnerability is through the "order" parameter in SQL queries. An attacker can inject malicious SQL code into this parameter to manipulate the database and execute unauthorized commands. Potential exploitation methods include:
- Data Exfiltration: Retrieving sensitive information such as user credentials, personal data, or proprietary information.
- Data Manipulation: Altering database entries to disrupt service or inject false information.
- Code Execution: Executing arbitrary code on the server, potentially leading to further compromise of the system.
3. Affected Systems and Software Versions
The vulnerability affects Meshery versions prior to v0.6.179. Organizations using these versions are at risk and should prioritize updating to the latest version to mitigate the threat.
4. Recommended Mitigation Strategies
To mitigate the risk associated with this vulnerability, the following strategies are recommended:
- Update to the Latest Version: Upgrade Meshery to version v0.6.179 or later, which includes the patch for this vulnerability.
- Input Validation: Implement robust input validation and sanitization for all user inputs, especially those used in SQL queries.
- Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection attacks.
- Web Application Firewalls (WAF): Deploy WAFs to detect and block malicious SQL injection attempts.
- Regular Security Audits: Conduct regular security audits and vulnerability assessments to identify and address potential security issues.
5. Impact on European Cybersecurity Landscape
The impact of this vulnerability on the European cybersecurity landscape is significant due to the critical nature of the flaw and the widespread use of Meshery in various industries. Organizations in Europe must be vigilant in updating their systems and implementing robust security measures to protect against such vulnerabilities. The high CVSS score underscores the urgency of addressing this issue to prevent potential data breaches and system compromises.
6. Technical Details for Security Professionals
For security professionals, the following technical details are essential:
- Vulnerability Identification: The vulnerability is identified by EUVD-2023-2939, CVE-2023-46575, and GHSA-9jjc-grg5-67gj.
- Affected Parameter: The "order" parameter in SQL queries is the entry point for the SQL injection attack.
- Patch Information: The vulnerability is patched in Meshery version v0.6.179. The relevant GitHub pull request and commit are:
- Pull Request: #9372
- Commit: ffe00967acfe4444a5db08ff3a4cafb9adf6013f
- References:
By understanding these details, security professionals can effectively address the vulnerability and ensure the security of their systems.