EUVD-2025-6982

Comprehensive Technical Analysis of EUVD-2025-6982

1. Vulnerability Assessment and Severity Evaluation

The vulnerability identified in the FinanceChatLlamaPack of the run-llama/llama_index repository, specifically in versions up to v0.12.3, is an SQL injection flaw in the run_sql_query function of the database_agent. This vulnerability allows an attacker to inject arbitrary SQL queries, potentially leading to remote code execution (RCE) through PostgreSQL's large object functionality.

Severity Evaluation:

• CVSS Base Score: 10.0
• CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

The CVSS score of 10.0 indicates a critical vulnerability. The vector string highlights the following characteristics:

• Attack Vector (AV): Network (N)
• Attack Complexity (AC): Low (L)
• Privileges Required (PR): None (N)
• User Interaction (UI): None (N)
• Scope (S): Changed (C)
• Confidentiality (C): High (H)
• Integrity (I): High (H)
• Availability (A): High (H)

This vulnerability is highly exploitable and can lead to severe impacts, including unauthorized access to sensitive data, data manipulation, and system compromise.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• SQL Injection: An attacker can craft malicious SQL queries to exploit the run_sql_query function.
• Remote Code Execution (RCE): By leveraging PostgreSQL's large object functionality, an attacker can execute arbitrary code on the affected system.

Exploitation Methods:

• Crafting Malicious Input: An attacker can input specially crafted SQL queries through the run_sql_query function to manipulate the database.
• Exploiting PostgreSQL Features: The attacker can use PostgreSQL's large object functionality to execute arbitrary code, leading to RCE.

3. Affected Systems and Software Versions

Affected Software:

• run-llama/llama_index repository
• Versions up to v0.12.3

Affected Systems:

• Any system running the vulnerable versions of the run-llama/llama_index repository, particularly those using the database_agent and run_sql_query function.

4. Recommended Mitigation Strategies

Immediate Mitigation:

• Upgrade to the Fixed Version: Upgrade to version 0.3.0 or later, which includes the fix for this vulnerability.
• Input Validation: Implement strict input validation and sanitization for all user inputs to prevent SQL injection.
• Parameterized Queries: Use parameterized queries or prepared statements to avoid direct SQL query execution.

Long-Term Mitigation:

• Regular Security Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
• Patch Management: Implement a robust patch management process to ensure timely updates and patches.
• Security Training: Provide security training for developers to educate them on secure coding practices and common vulnerabilities.

5. Impact on European Cybersecurity Landscape

The vulnerability poses a significant risk to organizations using the run-llama/llama_index repository, particularly those in the financial sector. The potential for RCE can lead to severe data breaches, financial loss, and reputational damage. Given the critical nature of the vulnerability, it is essential for European organizations to prioritize patching and mitigation efforts to protect their systems and data.

6. Technical Details for Security Professionals

Vulnerability Details:

• Function Affected: run_sql_query in the database_agent
• Exploit Mechanism: SQL injection leading to RCE through PostgreSQL's large object functionality
• Fix Version: 0.3.0

References:

• NVD Reference: CVE-2024-12909
• GitHub Commit: 5d03c175476452db9b8abcdb7d5767dd7b310a75
• Huntr Bounty: 44e8177f-200a-4ba3-a12c-8bc21e313a3f

Additional Information:

• Assigner: @huntr_ai
• ENISA ID Product: [{"id":"108f5ebc-2adc-3b70-b390-94b227a2a67e","product":{"name":"run-llama/llama_index"},"product_version":"unspecified <0.3.0"}]
• ENISA ID Vendor: [{"id":"33764706-f6ff-3ce0-9bb7-153ecb54fa6d","vendor":{"name":"run-llama"}}]

Conclusion: This vulnerability highlights the importance of secure coding practices and timely patch management. Organizations should prioritize upgrading to the fixed version and implementing robust security measures to mitigate the risk of similar vulnerabilities in the future.