RAGFlow, an open-source Retrieval-Augmented Generation (RAG) engine, has a critical vulnerability that could allow attackers to execute arbitrary SQL commands. This SQL injection flaw, tracked as CVE-2025-27135, exists in the ExeSQL component due to improper sanitization of user-supplied input. With a high CVSS score, organizations using RAGFlow need to understand the vulnerability, its potential impact, and take immediate action to protect their systems. This article provides a comprehensive guide for security professionals on how to mitigate this risk.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine designed to enhance the performance of language models by grounding them in external knowledge sources. RAG systems retrieve relevant information from a knowledge base and combine it with the input prompt before feeding it to the language model. RAGFlow aims to simplify the development and deployment of RAG-based applications, providing developers with a flexible and efficient framework. It is used in a variety of applications, including chatbots, question answering systems, and content generation tools.
CVE ID: CVE-2025-27135
Description: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
CVSS Score: 8.9
CVSS Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
CVE-2025-27135 is a critical SQL injection vulnerability that resides within the ExeSQL component of RAGFlow. The flaw arises from the component's practice of directly extracting and executing SQL statements based on user-provided input without implementing proper sanitization measures. Consequently, an attacker can inject malicious SQL code into the input, leading to unintended execution of arbitrary SQL commands on the underlying database. This could lead to unauthorized data access, modification, or even complete database compromise.
The impact of CVE-2025-27135 can be severe. Successful exploitation allows an attacker to:
Execute arbitrary SQL commands, potentially altering or deleting data.
Manipulate or retrieve sensitive database information, including credentials and proprietary data.
Bypass authentication mechanisms, gaining unauthorized access to the application and its resources.
Potentially gain unauthorized access to the database server itself, leading to complete system compromise.
The vulnerability's exploitability is heightened by the fact that it can be exploited remotely over the network without any authentication
requirements. This makes it especially critical, as attackers can easily target vulnerable RAGFlow instances exposed to the internet. The lack of authentication needed to trigger the vulnerability widens the attack surface, making it simpler for malicious actors to exploit the flaw and cause significant damage. Therefore, immediate and decisive action is necessary to mitigate the risks posed by CVE-2025-27135.
The following versions of RAGFlow are affected by CVE-2025-27135:
Product
|
Version(s) Affected
|
---|---|
RAGFlow
|
<= 0.15.1
|
Currently, there is no information available regarding specific versions that are not affected. Users are advised to treat all versions up to and including 0.15.1 as vulnerable until an official patched version is released. It is crucial to remain vigilant and monitor official RAGFlow channels for updates regarding non-affected versions or specific exemptions as this information becomes available.
Identifying if your RAGFlow instance is vulnerable to CVE-2025-27135 is crucial for effective mitigation. Here's how you can check:
1. Version Check: The most straightforward method is to check the RAGFlow version. Access the RAGFlow instance's administration interface, configuration file, or use a command-line interface (if available) to determine the installed version. If the version is 0.15.1 or earlier, it is vulnerable.
2. Code Review (if applicable): If you have access to the RAGFlow source code, specifically examine the ExeSQL
component. Look for instances where SQL statements are constructed using user-provided input without proper sanitization or parameterization. Specifically, check if the code directly concatenates user inputs into SQL queries.
3. Traffic Monitoring: Analyze network traffic to and from the RAGFlow instance, looking for suspicious SQL syntax within HTTP requests, especially those targeting the component utilizing ExeSQL
. Monitor for SQL keywords like UNION
, SELECT,
INSERT
, UPDATE
, DELETE
, and DROP
in the request parameters. Note that this method requires expertise in recognizing potential SQL injection attempts within encoded or obfuscated traffic.
4. Database Logs Analysis: Enable and scrutinize database logs associated with the RAGFlow instance. Check for anomalies like unexpected SQL queries, errors related to invalid syntax (indicating potential injection attempts), or unauthorized data access.
5. Vulnerability Scanning: Employ vulnerability scanning
tools that are capable of detecting SQL injection vulnerabilities. Configure the scanner to assess the RAGFlow instance, focusing on input fields and parameters that interact with the database. You can follow these key strategies to identify vulnerabilities in your system.
Currently, there is no patched version available for RAGFlow to address CVE-2025-27135. Organizations using RAGFlow versions 0.15.1 and earlier are strongly advised to take immediate mitigation steps to minimize the risk. Here are several measures you can take:
Input Validation and Sanitization: Implement rigorous input validation and sanitization techniques. Sanitize all user-supplied input before using it in SQL queries. Use whitelisting to define acceptable input formats and reject anything that doesn't conform.
Parameterized Queries: Replace direct SQL statement execution with parameterized queries (also known as prepared statements). Parameterized queries separate the SQL code from the data, preventing malicious SQL code from being injected. Most database libraries support parameterized queries.
Restrict Network Access: Isolate or restrict network access to RAGFlow instances. Only allow access from trusted networks or IP addresses. Place RAGFlow behind a firewall and configure it to block unauthorized traffic.
Monitor Logs: Enable thorough logging and monitoring of database and application activity. Look for suspicious patterns or anomalies that could indicate an attempted SQL injection attack. Set up alerts to notify security personnel of any suspicious activity. Consider enhancing your security logging and monitoring practices.
Web Application Firewall (WAF): Consider deploying a Web Application Firewall (WAF) in front of your RAGFlow application. A WAF can help to detect and block SQL injection attempts by inspecting HTTP traffic and identifying malicious payloads.
Principle of Least Privilege: Ensure that the database user account used by RAGFlow has only the necessary privileges. Avoid granting excessive privileges that could be exploited in case of a successful SQL injection attack.
Temporarily Disable Vulnerable Component: If feasible, consider temporarily disabling the ExeSQL
component or the entire RAGFlow instance if it is not critical to operations, until a patch is released. This will eliminate the immediate risk of exploitation.
Stay Updated: Monitor official RAGFlow channels, such as the project's GitHub repository, mailing lists, and security advisories, for updates on the vulnerability and the availability of a patch. Also, having a solid patch management strategy will help you to quickly fix vulnerabilities.
Organizations should prioritize these mitigation steps to reduce the risk of exploitation until a patched version of RAGFlow becomes available. It's essential to implement a combination of these measures to create a layered defense approach. When handling user inputs, remember the significance of Software and data integrity failures, which is a critical aspect of web application security.
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Arun KL is a cybersecurity professional with 15+ years of experience in IT infrastructure, cloud security, vulnerability management, Penetration Testing, security operations, and incident response. He is adept at designing and implementing robust security solutions to safeguard systems and data. Arun holds multiple industry certifications including CCNA, CCNA Security, RHCE, CEH, and AWS Security.
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