CVE-2025-1750

Comprehensive Technical Analysis of CVE-2025-1750

1. Vulnerability Assessment and Severity Evaluation

CVE ID: CVE-2025-1750 CISA Vulnerability Name: CVE-2025-1750 CVSS Score: 9.8

The vulnerability in question is an SQL injection flaw in the delete function of DuckDBVectorStore in run-llama/llama_index version v0.12.19. This vulnerability allows an attacker to manipulate the ref_doc_id parameter, potentially leading to arbitrary file read/write operations and remote code execution (RCE).

Severity Evaluation:

• CVSS Score: 9.8 (Critical)
• Impact: High
• Exploitability: High

The high CVSS score indicates a critical vulnerability that can be easily exploited with severe consequences. The potential for RCE makes this vulnerability particularly dangerous, as it can lead to full system compromise.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

1. SQL Injection: An attacker can inject malicious SQL code into the ref_doc_id parameter, bypassing input validation and executing arbitrary SQL commands.
2. File Manipulation: By exploiting the SQL injection, an attacker can read and write arbitrary files on the server, potentially accessing sensitive data or injecting malicious code.
3. Remote Code Execution (RCE): If the attacker can manipulate the file system to execute arbitrary code, they can gain full control over the server.

Exploitation Methods:

1. Crafting Malicious Input: An attacker can craft a specially designed input to the delete function that includes SQL injection payloads.
2. File System Access: Using SQL injection to manipulate file paths and access sensitive files or directories.
3. Code Injection: Injecting malicious code into executable files or scripts that can be executed by the server.

3. Affected Systems and Software Versions

Affected Software:

• run-llama/llama_index version v0.12.19

Affected Systems:

• Any system running the vulnerable version of run-llama/llama_index with the DuckDBVectorStore component enabled.
• Servers hosting applications that rely on run-llama/llama_index for data storage and retrieval.

4. Recommended Mitigation Strategies

1. Immediate Patching: Upgrade to a patched version of run-llama/llama_index as soon as it becomes available.
2. Input Validation: Implement strict input validation and sanitization for the ref_doc_id parameter to prevent SQL injection.
3. Least Privilege: Ensure that the application runs with the least privileges necessary to minimize the impact of a successful exploit.
4. Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Monitoring and Logging: Implement robust monitoring and logging to detect and respond to suspicious activities.

5. Impact on Cybersecurity Landscape

The discovery of CVE-2025-1750 highlights the ongoing challenge of securing applications against SQL injection attacks. This vulnerability underscores the importance of:

• Secure Coding Practices: Developers must adhere to secure coding practices to prevent common vulnerabilities like SQL injection.
• Regular Updates: Organizations must prioritize regular updates and patches to mitigate known vulnerabilities.
• Incident Response: Effective incident response plans are crucial for minimizing the impact of successful exploits.

6. Technical Details for Security Professionals

Vulnerability Details:

• Component: DuckDBVectorStore
• Function: delete
• Parameter: ref_doc_id

Exploitation Steps:

1. Identify Vulnerable Endpoint: Locate the endpoint that accepts the ref_doc_id parameter.
2. Craft Payload: Create an SQL injection payload that manipulates the ref_doc_id parameter.
3. Execute Payload: Send the crafted payload to the vulnerable endpoint.
4. File Manipulation: Use the SQL injection to read/write arbitrary files.
5. RCE: Inject and execute malicious code to gain control over the server.

Mitigation Steps:

1. Patch Management: Ensure that the latest patches are applied to run-llama/llama_index.
2. Input Sanitization: Implement robust input sanitization to prevent SQL injection.
3. Access Controls: Limit access to critical files and directories.
4. Intrusion Detection: Deploy intrusion detection systems to monitor for suspicious activities.

References:

• GitHub Commit
• Huntr Bounty

By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of exploitation and protect their systems from potential attacks.